Glomerular filtration rate measurement during platinum treatment for urothelial carcinoma: optimal methods for clinical practice.
Bladder cancer
Glomerular filtration rate
Urothelial tract cancer
eGFR
mGFR
Journal
International journal of clinical oncology
ISSN: 1437-7772
Titre abrégé: Int J Clin Oncol
Pays: Japan
ID NLM: 9616295
Informations de publication
Date de publication:
05 Jan 2024
05 Jan 2024
Historique:
received:
25
10
2023
accepted:
04
12
2023
medline:
5
1
2024
pubmed:
5
1
2024
entrez:
5
1
2024
Statut:
aheadofprint
Résumé
We assessed the accuracy of four estimated glomerular filtration rate (eGFR) methods: MDRD, Cockcroft-Gault, CKD-EPI, and Wright. The four methods were compared to measure GFR (mGFR) in patients with urothelial urinary tract cancer (T2-T4bNxMx) receiving platinum-based chemotherapy at Rigshospitalet, Copenhagen, from January 2019 to December 2021. Using standardized assays, creatinine values were measured, and mGFR was determined using Technetium-99 m diethylenetriaminepentaacetic acid (Tc-99 m-DTPA) or Cr-51-ethylenediaminetetraacetic acid (Cr-51-EDTA) plasma clearance. Patients (n = 146) with both mGFR and corresponding creatinine values available were included (n = 345 measurements). The CKD-EPI method consistently demonstrated superior accuracy, with the lowest Total Deviation Index of 21.8% at baseline and 22.9% for all measurements compared to Wright (23.4% /24.1%), MDRD (26.2%/25.5%), and Cockcroft-Gault (25.x%/25.1%). Bland Altman Limits of agreement (LOA) ranged from - 32 ml/min (Cockcroft-Gault) to + 33 ml/min (MDRD), with CKD-EPI showing the narrowest LOA (- 27 ml/min to + 24 ml/min and lowest bias (0.3 ml/min). Establishing an eGFR threshold at 85 ml/min-considering both the lower limit of agreement (LOA) and the minimum cisplatin limit at 60 ml/min-allows for the safe omission of mGFR in 30% of patients in this cohort. CKD-EPI equation emerged as the most suitable for estimating kidney function in this patient group although not meeting benchmark criteria. We recommend its use for initial assessment and ongoing monitoring, and suggest mGFR for patients with a CKD-EPI estimated GFR below 85 ml/min. This approach could reduce costs and decrease laboratory time for 30% of our UC patients.
Sections du résumé
BACKGROUND
BACKGROUND
We assessed the accuracy of four estimated glomerular filtration rate (eGFR) methods: MDRD, Cockcroft-Gault, CKD-EPI, and Wright.
METHOD
METHODS
The four methods were compared to measure GFR (mGFR) in patients with urothelial urinary tract cancer (T2-T4bNxMx) receiving platinum-based chemotherapy at Rigshospitalet, Copenhagen, from January 2019 to December 2021. Using standardized assays, creatinine values were measured, and mGFR was determined using Technetium-99 m diethylenetriaminepentaacetic acid (Tc-99 m-DTPA) or Cr-51-ethylenediaminetetraacetic acid (Cr-51-EDTA) plasma clearance. Patients (n = 146) with both mGFR and corresponding creatinine values available were included (n = 345 measurements).
RESULTS
RESULTS
The CKD-EPI method consistently demonstrated superior accuracy, with the lowest Total Deviation Index of 21.8% at baseline and 22.9% for all measurements compared to Wright (23.4% /24.1%), MDRD (26.2%/25.5%), and Cockcroft-Gault (25.x%/25.1%). Bland Altman Limits of agreement (LOA) ranged from - 32 ml/min (Cockcroft-Gault) to + 33 ml/min (MDRD), with CKD-EPI showing the narrowest LOA (- 27 ml/min to + 24 ml/min and lowest bias (0.3 ml/min). Establishing an eGFR threshold at 85 ml/min-considering both the lower limit of agreement (LOA) and the minimum cisplatin limit at 60 ml/min-allows for the safe omission of mGFR in 30% of patients in this cohort.
CONCLUSION
CONCLUSIONS
CKD-EPI equation emerged as the most suitable for estimating kidney function in this patient group although not meeting benchmark criteria. We recommend its use for initial assessment and ongoing monitoring, and suggest mGFR for patients with a CKD-EPI estimated GFR below 85 ml/min. This approach could reduce costs and decrease laboratory time for 30% of our UC patients.
Identifiants
pubmed: 38180599
doi: 10.1007/s10147-023-02454-3
pii: 10.1007/s10147-023-02454-3
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
© 2024. The Author(s).
Références
Bamias A, Tzannis K, Harshman LC et al (2018) Impact of contemporary patterns of chemotherapy utilization on survival in patients with advanced cancer of the urinary tract: a retrospective international study of invasive/advanced cancer of the urothelium (RISC). Ann Oncol 29:361–369. https://doi.org/10.1093/annonc/mdx692
doi: 10.1093/annonc/mdx692
pubmed: 29077785
Prigent A (2008) Monitoring renal function and limitations of renal function tests. Semin Nucl Med 38:32–46. https://doi.org/10.1053/J.SEMNUCLMED.2007.09.003
doi: 10.1053/J.SEMNUCLMED.2007.09.003
pubmed: 18096462
Teruel Briones JL, Gomis Couto AG, Sabater J et al (2011) Validación de la fórmula chronic kidney disease epidemiology collaboration (CKD-EPI) en la insuficiencia renal crónica avanzada. Nefrologia 31:677–682. https://doi.org/10.3265/Nefrologia.pre2011.Sep.11014
doi: 10.3265/Nefrologia.pre2011.Sep.11014
pubmed: 22130283
Galsky MD, Hahn NM, Rosenberg J et al (2011) A consensus definition of patients with metastatic urothelial carcinoma who are unfit for cisplatin-based chemotherapy. Lancet Oncol 12:211–214
doi: 10.1016/S1470-2045(10)70275-8
pubmed: 21376284
Calvert AH, Newell DR, Gumbrell LA et al (1989) Carboplatin dosage: prospective evaluation of a simple formula based on renal function. J Clin Oncol 7:1748–1756. https://doi.org/10.1200/JCO.1989.7.11.1748
doi: 10.1200/JCO.1989.7.11.1748
pubmed: 2681557
Hudson JQ, Nyman HA (2011) Use of estimated glomerular filtration rate for drug dosing in the chronic kidney disease patient. Curr Opin Nephrol Hypertens 20:482–491
doi: 10.1097/MNH.0b013e328348c11f
pubmed: 21709552
Stevens LA, Nolin TD, Richardson MM et al (2009) Comparison of drug dosing recommendations based on measured GFR and kidney function estimating equations. Am J Kidney Dis 54:33–42. https://doi.org/10.1053/j.ajkd.2009.03.008
doi: 10.1053/j.ajkd.2009.03.008
pubmed: 19446939
pmcid: 2756662
Horn T, Ladwein B, Maurer T et al (2014) The method of GFR determination impacts the estimation of cisplatin eligibility in patients with advanced urothelial cancer. World J Urol 32:359–363. https://doi.org/10.1007/s00345-013-1104-5
doi: 10.1007/s00345-013-1104-5
pubmed: 23708699
Cathomas R, Lorch A, Bruins HM et al (2022) The 2021 updated european association of urology guidelines on metastatic urothelial carcinoma. Eur Urol 81:95–103
doi: 10.1016/j.eururo.2021.09.026
pubmed: 34742583
Jones GRD (2011) Estimating renal function for drug dosing decisions. Clin Biochem Rev 32:81–88
pubmed: 21611081
pmcid: 3100285
Soveri I, Berg UB, Björk J et al (2014) Measuring GFR: a systematic review. Am J Kidney Dis 64:411–424. https://doi.org/10.1053/j.ajkd.2014.04.010
doi: 10.1053/j.ajkd.2014.04.010
pubmed: 24840668
Antoni S, Ferlay J, Soerjomataram I et al (2017) Bladder cancer incidence and mortality: a global overview and recent trends. Eur Urol 71:96–108
doi: 10.1016/j.eururo.2016.06.010
pubmed: 27370177
Helsebiblioteket.no (2021) Norwegian Guidelines for Cytostatica treatment of urothelial tract cancer. https://www.helsebiblioteket.no/innhold/nasjonal-faglig-retningslinje/blaerekreft-handlingsprogram-og-nasjonal-retningslinje#appendiks-cytostaticakurer . Accessed 15 Nov 2023
DANAK DANAK. https://registry.danak.dk/25812/registry/442/EXAM442?lang=en&pageSize=100 . Accessed 15 Nov 2023
Groth S, Aasted M (1981) 51Cr-EDTA clearance determined by one plasma sample. Clin Physiol 1:417–425. https://doi.org/10.1111/J.1475-097X.1981.TB00909.X
doi: 10.1111/J.1475-097X.1981.TB00909.X
pubmed: 6800683
Bröchner-Mortensen J (1972) A simple method for the determination of glomerular filtration rate. Scand J Clin Lab Invest 30:271–274. https://doi.org/10.3109/00365517209084290
doi: 10.3109/00365517209084290
pubmed: 4629674
RD M, (1987) Simplified Calculation of Body-Surface Area. N Engl J Med 317:1098–1098. https://doi.org/10.1056/nejm198710223171717
doi: 10.1056/nejm198710223171717
Haddadin Z, Lee V, Conlin C et al (2017) Comparison of performance of improved serum estimators of glomerular filtration rate (GFR) to 99mTc-DTPA GFR methods in patients with hepatic cirrhosis. J Nucl Med Technol 45:314–321. https://doi.org/10.2967/jnmt.116.180851
doi: 10.2967/jnmt.116.180851
Holm S (1979) A simple sequentially rejective multiple test procedure. Scand J Stat 6:65–70
Lin L, Hedayat AS, Wu W (2012) Statistical tools for measuring agreement. Springer, New York
doi: 10.1007/978-1-4614-0562-7
Porrini E, Ruggenenti P, Luis-Lima S et al (2019) Estimated GFR: time for a critical appraisal. Nat Rev Nephrol 15:177–190. https://doi.org/10.1038/s41581-018-0080-9
doi: 10.1038/s41581-018-0080-9
pubmed: 30518813
Lin LI-K (1989) A concordance correlation coefficient to evaluate reproducibility. Biometrics 45:255. https://doi.org/10.2307/2532051
doi: 10.2307/2532051
pubmed: 2720055
Efron B, Tibshirani R (1986) Bootstrap methods for standard errors, confidence intervals, and other measures of statistical accuracy. Stat Sci 1:54–75
Altman DG, Bland JM (1983) Measurement in medicine: the analysis of method comparison studies. Stat 32:307. https://doi.org/10.2307/2987937
doi: 10.2307/2987937
R Core Team (2023) R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. https://www.R-project.org
Omland LH, Lindberg H, Carus A et al (2021) Real-world treatment patterns and overall survival in locally advanced and metastatic urothelial tract cancer patients treated with chemotherapy in Denmark in the preimmunotherapy era: a nationwide, population-based study. Eur Urol Open Sci 24:1–8. https://doi.org/10.1016/j.euros.2020.12.002
doi: 10.1016/j.euros.2020.12.002
pubmed: 34337488
Hafeez AR, Idrees MK, Akhtar SF (2016) Accuracy of GFR estimation formula in determination of glomerular filtration rate in kidney donors: comparison with 24 h urine creatinine clearance. Saudi J Kidney Dis Transpl 27:320–325. https://doi.org/10.4103/1319-2442.178551
doi: 10.4103/1319-2442.178551
pubmed: 26997385
Verhave JC, Fesler P, Ribstein J et al (2005) Estimation of renal function in subjects with normal serum creatinine levels: influence of age and body mass index. Am J Kidney Dis 46:233–241. https://doi.org/10.1053/J.AJKD.2005.05.011
doi: 10.1053/J.AJKD.2005.05.011
pubmed: 16112041
Wright JG, Boddy AV, Highley M et al (2001) Estimation of glomerular filtration rate in cancer patients. Br J Cancer 84:452–459. https://doi.org/10.1054/bjoc.2000.1643
doi: 10.1054/bjoc.2000.1643
pubmed: 11207037
pmcid: 2363765
Marx GM, Blake GM, Galani E et al (2004) Evaluation of the Cockroft-Gault, Jelliffe and Wright formulae in estimating renal function in elderly cancer patients. Ann Oncol 15:291–295. https://doi.org/10.1093/annonc/mdh079
doi: 10.1093/annonc/mdh079
pubmed: 14760124
Hartlev LB, Boeje CR, Bluhme H et al (2012) Monitoring renal function during chemotherapy. Eur J Nucl Med Mol Imaging 39:1478–1482. https://doi.org/10.1007/s00259-012-2158-0
doi: 10.1007/s00259-012-2158-0
pubmed: 22699525
Björk J, Jones I, Nyman U et al (2012) Validation of the LundMalmö, chronic kidney disease epidemiology (CKD-EPI) and modification of diet in renal disease (MDRD) equations to estimate glomerular filtration rate in a large Swedish clinical population. Scand J Urol Nephrol 46:212–222. https://doi.org/10.3109/00365599.2011.644859
doi: 10.3109/00365599.2011.644859
pubmed: 22250974
Hahn T, Yao S, Dunford LM et al (2009) A Comparison of measured creatinine clearance versus calculated glomerular filtration rate for assessment of renal function before autologous and allogeneic BMT. Biol Blood Marrow Transplant 15:574–579. https://doi.org/10.1016/j.bbmt.2009.01.015
doi: 10.1016/j.bbmt.2009.01.015
pubmed: 19361749
Tsao CK, Moshier E, Seng SM et al (2012) Impact of the CKD-EPI equation for estimating renal function on eligibility for cisplatin-based chemotherapy in patients with urothelial cancer. Clin Genitourin Cancer 10:15–20. https://doi.org/10.1016/j.clgc.2011.10.004
doi: 10.1016/j.clgc.2011.10.004
pubmed: 22130294
Daugaard G, Rossing N, Rørth M (1988) Effects of cisplatin on different measures of glomerular function in the human kidney with special emphasis on high-dose. Cancer Chemother Pharmacol 21:163–167. https://doi.org/10.1007/BF00257365
doi: 10.1007/BF00257365
pubmed: 3280153
Bröchner-Mortensen J, Rödbro P (1976) Selection of routine method for determination of glomerular filtration rate in adult patients. Scand J Clin Lab Invest 36:35–43. https://doi.org/10.1080/00365517609068016
doi: 10.1080/00365517609068016
pubmed: 1257694
Hernández Ocampo J, Torres Rosales A, Rodríguez Castellanos F (2010) Comparison of four methods for measuring glomerular filtration rate by inulin clearance in healthy individuals and patients with renal failure. Nefrologia 30:324–330. https://doi.org/10.3265/NEFROLOGIA.PRE2010.MAR.10238
doi: 10.3265/NEFROLOGIA.PRE2010.MAR.10238
pubmed: 20414326
Levey AS, Inker LA (2017) Assessment of glomerular filtration rate in health and disease: a state of the art review. Clin Pharmacol Ther 102:405–419. https://doi.org/10.1002/cpt.729
doi: 10.1002/cpt.729
pubmed: 28474735
Levey AS, Coresh J, Tighiouart H et al (2019) Strengths and limitations of estimated and measured GFR. Nat Rev Nephrol 15:784
doi: 10.1038/s41581-019-0213-9
pubmed: 31578495
Porrini E, Ruggenenti P, Luis-Lima S et al (2019) Reply to ‘Strengths and limitations of estimated and measured GFR.’ Nat Rev Nephrol 15:785–786
doi: 10.1038/s41581-019-0214-8
pubmed: 31578496
Chew-Harris JSC, Chin PKL, Florkowski CM et al (2015) Removal of body surface area normalisation improves raw-measured glomerular filtration rate estimation by the chronic kidney disease epidemiology collaboration equation and drug dosing in the obese. Intern Med J 45:766–773. https://doi.org/10.1111/imj.12791
doi: 10.1111/imj.12791
pubmed: 25904102
Geddes CC, Woo YM, Brady S (2008) Glomerular filtration rate - what is the rationale and justification of normalizing GFR for body surface area? Nephrol Dial Transplant 23:4–6
doi: 10.1093/ndt/gfm662
pubmed: 17913737
Williams EH, Flint TR, Connell CM et al (2021) CamGFR v2: a new model for estimating the glomerular filtration rate from standardized or non-standardized creatinine in patients with cancer. Clin Cancer Res 27:1381–1390. https://doi.org/10.1158/1078-0432.CCR-20-3201
doi: 10.1158/1078-0432.CCR-20-3201
pubmed: 33303580
Garner AE, Barnfield MC, Waller ML et al (2019) Comparing glomerular filtration rate equations and the impact of different creatinine assays on the assessment of renal function in cancer patients. Ann Clin Biochem 56:266–274. https://doi.org/10.1177/0004563218822667
doi: 10.1177/0004563218822667
pubmed: 30791693
Dash A, Galsky MD, Vickers AJ et al (2006) Impact of renal impairment on eligibility for adjuvant cisplatin-based chemotherapy in patients with urothelial carcinoma of the bladder. Cancer 107:506–513. https://doi.org/10.1002/CNCR.22031
doi: 10.1002/CNCR.22031
pubmed: 16773629
Ebert N, Bevc S, Bökenkamp A et al (2021) Assessment of kidney function: clinical indications for measured GFR. Clin Kidney J 14:1861–1870. https://doi.org/10.1093/ckj/sfab042
doi: 10.1093/ckj/sfab042
pubmed: 34345408
pmcid: 8323140
Safdar A, Akram W, Ahmad Khan M et al (2023) Optimal glomerular filtration rate equations for various age groups, disease conditions and ethnicities in Asia: a systematic review. J Clin Med 12:1822
doi: 10.3390/jcm12051822
pubmed: 36902609
pmcid: 10002889
Klöckl MC, Kasparek AK, Riedl JM et al (2020) Estimation versus measurement of the glomerular filtration rate for kidney function assessment in patients with cancer undergoing cisplatin-based chemotherapy. Sci Rep. https://doi.org/10.1038/s41598-020-68010-5
doi: 10.1038/s41598-020-68010-5
pubmed: 32641710
pmcid: 7343883
Lauritsen J, Gundgaard MG, Mortensen MS et al (2014) Reliability of estimated glomerular filtration rate in patients treated with platinum containing therapy. Int J Cancer 135:1733–1739. https://doi.org/10.1002/ijc.28816
doi: 10.1002/ijc.28816
pubmed: 24585507
Supplements KI (2013) Official journal of the international society of nephrology KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. IFAC Proc 3:30–130
World Medical Association (2013) World medical association declaration of Helsinki: ethical principles for medical research involving human subjects. JAMA 310(20):2191–2194. https://doi.org/10.1001/jama.2013.281053
doi: 10.1001/jama.2013.281053