[en] ABSTRACT
Background
The 2009 Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation is the most used equation to estimate glomerular filtration rate (GFR), with race being a factor thereof, increasing GFR by 16% in self-identified Black persons compared with non-Black persons. However, recent publications indicate that it might overestimate GFR for Black adults outside the USA. In this meta-analysis, we assessed the accuracy, evaluated by the percentage of estimated GFR within 30% of measured GFR (P30), of the 2009 CKD-EPI equation in estimating GFR with and without the race coefficient in Black individuals outside the United States of America (USA).
Methods
We searched MEDLINE and Embase from inception to 9 July 2022, with no language restriction, supplemented by manual reference searches. Studies that assessed the CKD-EPI P30 accuracy with or without the race coefficient in Black adults outside the USA with an adequate method of GFR measurement were included. Data were extracted by independent pairs of reviewers and were pooled using a random-effects model.
Results
We included 11 studies, with a total of 1834 Black adults from South America, Africa and Europe. The race coefficient in the 2009 CKD-EPI equation significantly decreased P30 accuracy {61.9% [95% confidence interval (CI) 53–70%] versus 72.9% [95% CI 66.7–78.3%]; P = .03}.
Conclusions
Outside the USA, the 2009 CKD-EPI equation should not be used with the race coefficient, even though the 2009 CKD-EPI equation is not sufficiently accurate either way (<75%). Thus we endorse the Kidney Disease: Improving Global Outcomes guidelines to use exogenous filtration markers when this may impact clinical conduct.
Disciplines :
Urology & nephrology
Author, co-author :
Zingano, Carolina Pires ; Graduate Program in Medical Sciences: Endocrinology, Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre , Brazil ; Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre , Porto , Alegre
Escott, Gustavo Monteiro; Graduate Program in Medical Sciences: Endocrinology, Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre , Brazil ; Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre , Porto , Alegre
Rocha, Bruna Martins; Graduate Program in Medical Sciences: Endocrinology, Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre , Brazil ; Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre , Porto , Alegre
Porgere, Indianara Franciele; Graduate Program in Medical Sciences: Endocrinology, Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre , Brazil ; Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre , Porto , Alegre
Moro, Candice Cristine; Graduate Program in Medical Sciences: Endocrinology, Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre , Brazil ; Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre , Porto , Alegre
Delanaye, Pierre ; Centre Hospitalier Universitaire de Liège - CHU > > Service de néphrologie ; Department of Nephrology-Dialysis-Apheresis , Hôpital Universitaire Carémeau, Nîmes , France
Silveiro, Sandra Pinho; Graduate Program in Medical Sciences: Endocrinology, Porto Alegre, Universidade Federal do Rio Grande do Sul, Porto Alegre , Brazil ; Diabetes and Metabolism Group, Centro de Pesquisa Clínica, Hospital de Clínicas de Porto Alegre , Porto , Alegre ; Division of Endocrinology and Metabolism, Hospital de Clínicas de Porto Alegre, Porto Alegre, Brazil
Language :
English
Title :
2009 CKD-EPI glomerular filtration rate estimation in Black individuals outside the United States: a systematic review and meta-analysis
HCPA - Hospital de Clínicas de Porto Alegre UFRGS - Universidade Federal do Rio Grande do Su FAPERGS - Fundação de Amparo à Pesquisa do Estado do Rio Grande do Sul CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico CAPES - Coordenação de Aperfeicoamento de Pessoal de Nível Superior
Funding text :
Funding was received from the Hospital de Clínicas de Porto
Alegre Research Fund (FIPE-HCPA), the Division of Research of
Universidade Federal do Rio Grande do Sul (PROPESQ-UFRGS),
Fundação de Amparo à Pesquisa do Estado do Rio Grande do
Sul (FAPERGS; process number 16/2551-00a00-476-5), Conselho
Nacional de Desenvolvimento Científico e Tecnológico (CNPq),
Hospital de Clínicas de Porto Alegre (HCPA) and Coordenação
de Aperfeiçoamento de Pessoal de Nível Superior (CAPES). This
study was financed in part by the Coordenação de Aperfeiçoamento
de Pessoal de Nível Superior–Brasil (CAPES; finance code
001).
Levey AS, Stevens LA, Schmid CH et al. A new equation to estimate glomerular filtration rate. Ann Intern Med 2009; 150:604-12. http://dx.doi.org/10.7326/0003-4819-150-9-200905050-00006
Levey AS, Bosch JP, Lewis JB et al. Amore accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Ann Intern Med 1999; 130:461-70. http://dx.doi.org/10.7326/0003-4819-130-6-199903160-00002
Pottel H, Björk J, Courbebaisse M et al. Development and validation of a modified full age spectrum creatininebased equation to estimate glomerular filtration rate: a cross-sectional analysis of pooled data. Ann Intern Med 2021; 174:183-91. http://dx.doi.org/10.7326/M20-4366
National Kidney Foundation.K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 2002; 39(2 Suppl 1):S1-266. https://www.ncbi.nlm.nih.gov/pubmed/11904577
Eneanya ND, Boulware LE, Tsai J et al. Health inequities and the inappropriate use of race in nephrology. Nat Rev Nephrol 2022; 18:84-94. https://www.ncbi.nlm.nih.gov/ pubmed/33324009
Hsu CY, Yang W, Parikh RV et al. Race, genetic ancestry, and estimating kidney function in CKD. N Engl J Med 2021; 385:1750-60. http://dx.doi.org/10.1056/NEJMoa2103753
Delanaye P, Pottel H, Glassock RJ. Americentrism in estimation of glomerular filtration rate equations. Kidney Int 2022; 101:856-8. http://dx.doi.org/10.1016/j.kint.2022.02.022
Sehgal AR. Race and the false precision of glomerular filtration rate estimates. Ann Intern Med 2020; 173:1008-9. http: //dx.doi.org/10.7326/M20-4951
Norris KC, Eneanya ND, Boulware LE. Removal of race from estimates of kidney function: first, do no harm. JAMA 2021; 325:135-7. https://www.ncbi.nlm.nih.gov/pubmed/ 33263722
Vyas DA, Eisenstein LG, Jones DS. Hidden in plain sight- reconsidering the use of race correction in clinical algorithms. N Engl J Med 2020; 383:874-82. http://dx.doi.org/10. 1056/NEJMms2004740
Grubbs V. Precision in GFR reporting: let's stop playing the race card. Clin J Am Soc Nephrol 2020; 15:1201-2. http://dx.doi. org/10.2215/CJN.00690120
Powe NR. Black kidney function matters: use or misuse of race? JAMA 2020; 324:737-8. http://dx.doi.org/10.1001/jama. 2020.13378
Diao JA, Inker LA, Levey AS et al. In search of a better equation-performance and equity in estimates of kidney function. N Engl J Med 2021; 384:396-9. http://dx.doi.org/10. 1056/NEJMp2028243
Inker LA, Eneanya ND, Coresh J et al. New creatinine- and cystatin C-based equations to estimate GFR without race. N Engl J Med 2021; 385:1737-49. http://dx.doi.org/10.1056/ NEJMoa2102953
Seape T, Gounden V, van Deventer HE et al. Cystatin C- and creatinine-based equations in the assessment of renal function in HIV-positive patients prior to commencing highly active antiretroviral therapy. Ann Clin Biochem 2016; 53:58-66. http://dx.doi.org/10.1177/0004563215579695
Holness JL, Bezuidenhout K, Davids MR et al. Validation of equations to estimate glomerular filtration rate in South Africans of mixed ancestry. S Afr Med J 2020; 110:229-34. http://dx.doi.org/10.7196/SAMJ.2020.v110i3.13995
Gama RM, Clery A, Griffiths K et al. Estimated glomerular filtration rate equations in people of self-reported black ethnicity in the United Kingdom: inappropriate adjustment for ethnicity may lead to reduced access to care. PLoS One 2021; 16:e0255869. http://dx.doi.org/10.1371/ journal.pone.0255869
Wyatt CM, Schwartz GJ, Owino Ong'or W et al. Estimating kidney function in HIV-infected adults in Kenya: comparison to a direct measure of glomerular filtration rate by iohexol clearance. PLoS One 2013; 8:e69601. http://dx.doi.org/ 10.1371/journal.pone.0069601
Bukabau JB, Yayo E, Gnionsahé A et al. Performance of creatinine- or cystatin C-based equations to estimate glomerular filtration rate in sub-Saharan African populations. Kidney Int 2019; 95:1181-9. http://dx.doi.org/10.1016/j. kint.2018.11.045
Bragg-Gresham J, Zhang X, Le D et al. Prevalence of chronic kidney disease among black individuals in the US after removal of the black race coefficient from a glomerular filtration rate estimating equation. JAMA Netw Open 2021; 4:e2035636. http://dx.doi.org/10.1001/ jamanetworkopen.2020.35636
Zelnick LR, Leca N, Young B et al. Association of the estimated glomerular filtration rate with vs without a coefficient for race with time to eligibility for kidney transplant. JAMA Netw Open 2021; 4:e2034004. http://dx.doi.org/10.1001/ jamanetworkopen.2020.34004
Diao JA, Wu GJ, Taylor HA et al. Clinical implications of removing race from estimates of kidney function. JAMA 2021; 325:184-6. https://www.ncbi.nlm.nih.gov/pubmed/ 33263721
McInnesMDF, Moher D, Thombs BD et al. Preferred reporting items for a systematic reviewand meta-analysis of diagnostic test accuracy studies: the PRISMA-DTA statement. JAMA 2018; 319:388-96. http://dx.doi.org/10.1001/jama.2017.19163
Janssens AC, Gwinn M. Novel citation-based search method for scientific literature: application to meta-analyses. BMC Med Res Methodol 2015; 15:84. http://dx.doi.org/10.1186/ s12874-015-0077-z
Longstocking. CoCites 2022. https://www.cocites.com (10 November 2022, date last accessed).
Whiting PF, Rutjes AW, Westwood ME et al. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 2011; 155:529-36. http://dx.doi. org/10.7326/0003-4819-155-8-201110180-00009
Higgins J, Thomas J, Chandler J et al. Cochrane Handbook for Systematic Reviews of Interventions version 6.0. www. training.cochrane.org/handbook (10 November 2022, date last accessed).
van Deventer HE, Paiker JE, Katz IJ et al. A comparison of cystatin C- and creatinine-based prediction equations for the estimation of glomerular filtration rate in black South Africans. Nephrol Dial Transplant 2011; 26:1553-8. http://dx. doi.org/10.1093/ndt/gfq621
Moodley N, Hariparshad S, Peer F et al. Evaluation of the CKD-EPI creatinine based glomerular filtration rate estimating equation in Black African and Indian adults in KwaZulu-Natal, South Africa. Clin Biochem 2018; 59:43-9. http://dx.doi. org/10.1016/j.clinbiochem.2018.06.014
Rocha AD, Garcia S, Santos AB et al. No race-ethnicity adjustment in CKD-EPI equations is required for estimating glomerular filtration rate in the Brazilian population. Int J Nephrol 2020; 2020:2141038. http://dx.doi.org/10.1155/2020/ 2141038
Flamant M, Vidal-Petiot E, Metzger M et al. Performance of GFR estimating equations in African Europeans: basis for a lower race-ethnicity factor than in African Americans. Am J Kidney Dis 2013; 62:182-4. http://dx.doi.org/10.1053/j.ajkd. 2013.03.015
Veronese FV, Gomes EC, Chanan J et al. Performance of CKD-EPI equation to estimate glomerular filtration rate as compared to MDRD equation in South Brazilian individuals in each stage of renal function. Clin Chem Lab Med 2014; 52:1747-54. http://dx.doi.org/10.1515/cclm-2014-0052
Stevens LA, Claybon MA, Schmid CH et al. Evaluation of the Chronic Kidney Disease Epidemiology Collaboration equation for estimating the glomerular filtration rate in multiple ethnicities. Kidney Int 2011; 79:555-62. http://dx.doi.org/ 10.1038/ki.2010.462
U.S. Department of Health and Human Services, Food and Drug Administration, Office of the Commissioner et al. Collection of race and ethnicity data in clinical trials: guidance for industry and Food and Drug Administration staff. Silver Spring, MD: Office of Minority Health, 2016.
Stefflova K, Dulik MC, Barnholtz-Sloan JS et al. Dissecting the within-Africa ancestry of populations of African descent in the Americas. PLoS One 2011; 6:e14495. http://dx.doi.org/10. 1371/journal.pone.0014495
Casal MA, Ivy SP, Beumer JH et al. Effect of removing race from glomerular filtration rate-estimating equations on anticancer drug dosing and eligibility: a retrospective analysis of National Cancer Institute phase 1 clinical trial participants. Lancet Oncol 2021; 22:1333-40. http://dx.doi.org/10. 1016/S1470-2045(21)00377-6
Soveri I, Berg UB, Björk J et al. Measuring GFR: a systematic review. Am J Kidney Dis 2014; 64:411-24. http://dx.doi.org/10. 1053/j.ajkd.2014.04.010
Andersen TB, Jødal L, Nielsen NS et al. Comparison of simultaneous plasma clearance of 99mTc-DTPA and 51Cr-EDTA: can one tracer replace the other? Scand J Clin Lab Invest 2019; 79:463-7. http://dx.doi.org/10.1080/00365513.2019. 1658217
Rehling M, Møller ML, Thamdrup B et al. Simultaneous measurement of renal clearance and plasma clearance of 99mTc-labelled diethylenetriaminepenta-acetate, 51Cr-labelled ethylenediaminetetra-acetate and inulin in man. Clin Sci (Lond) 1984; 66:613-9. http://dx.doi.org/10.1042/ cs0660613
Vidal-Petiot E, Courbebaisse M, Livrozet M et al. Comparison of 51Cr-EDTA and 99mTc-DTPA for glomerular filtration rate measurement. J Nephrol 2021; 34:729-37. http://dx.doi.org/10. 1007/s40620-020-00932-9
Silveiro SP, Araújo GN, Ferreira MN et al. Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation pronouncedly underestimates glomerular filtration rate in type 2 diabetes. Diabetes Care 2011; 34:2353-5. http://dx.doi.org/10. 2337/dc11-1282
Schwandt A, Denkinger M, Fasching P et al. Comparison of MDRD, CKD-EPI, and Cockcroft-Gault equation in relation to measured glomerular filtration rate among a large cohort with diabetes. J Diabetes Complications 2017; 31:1376-83. http://dx.doi.org/10.1016/j.jdiacomp.2017.06.016
Cohn SH, Abesamis C, Zanzi I et al. Body elemental composition: comparison between black and white adults.Am J Physiol 1977; 232:E419-22.
Worrall JG, Phongsathorn V, Hooper RJ et al. Racial variation in serum creatine kinase unrelated to lean body mass. Br J Rheumatol 1990; 29:371-3. http://dx.doi.org/10.1093/ rheumatology/29.5.371
Harsha DW, Frerichs RR, Berenson GS. Densitometry and anthropometry of black and white children. Hum Biol 1978; 50:261-80. https://www.ncbi.nlm.nih.gov/pubmed/ 721084
Delanaye P, Mariat C, Cavalier E et al. The race È correction in estimating glomerular filtration rate: an European point of view. Curr Opin Nephrol Hypertens 2021; 30:525-30. http:// dx.doi.org/10.1097/MNH.0000000000000739
Agodoa LY, Appel L, Bakris GL et al. Effect of ramipril vs amlodipine on renal outcomes in hypertensive nephrosclerosis: a randomized controlled trial. JAMA 2001; 285:2719-28. http://dx.doi.org/10.1001/jama.285.21.2719
Delanaye P, Cohen EP. Formula-based estimates of the GFR: equations variable and uncertain. Nephron Clin Pract 2008; 110:c48-53; discussion c54. http://dx.doi.org/10.1159/ 000151436
Delanaye P, Cavalier E, Cristol JP et al. Calibration and precision of serum creatinine and plasma cystatin C measurement: impact on the estimation of glomerular filtration rate. J Nephrol 2014; 27:467-75. http://dx.doi.org/10.1007/ s40620-014-0087-7
Cooper RS, Kaufman JS, Ward R. Race and genomics. N Engl J Med 2003; 348:1166-70. http://dx.doi.org/10.1056/ NEJMsb022863
Tishkoff SA, Kidd KK. Implications of biogeography of human populations for 'race' and medicine. Nat Genet 2004; 36(11 Suppl):S21-7. http://dx.doi.org/10.1038/ng1438
Sankar P, Cho MK. Toward a new vocabulary of human genetic variation. Science 2002; 298:1337-8. http://dx.doi.org/10. 1126/science.1074447
Eneanya ND, Yang W, Reese PP. Reconsidering the consequences of using race to estimate kidney function. JAMA 2019; 322:113-4. http://dx.doi.org/10.1001/jama.2019.5774
Delanaye P, Mariat C, Maillard N et al. Are the creatininebased equations accurate to estimate glomerular filtration rate in African American populations? Clin J Am Soc Nephrol 2011; 6:906-12. http://dx.doi.org/10.2215/CJN.10931210
Haas Pizarro M, Conte Santos D, Gomes Nunes Melo L et al. Glomerular filtration rate estimated by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in type 1 diabetes based on genomic ancestry. Diabetol Metab Syndr 2020; 12:71. http://dx.doi.org/10.1186/s13098-020-00578-4
Parra FC, Amado RC, Lambertucci JR et al. Color and genomic ancestry in Brazilians. Proc Natl Acad Sci USA 2003; 100:177-82. http://dx.doi.org/10.1073/pnas.0126614100
Lijmer JG, Bossuyt PM, Heisterkamp SH. Exploring sources of heterogeneity in systematic reviews of diagnostic tests. Stat Med 2002; 21:1525-37. http://dx.doi.org/10.1002/sim.1185
Kidney Disease: Improving Global Outcomes CKD Work Group. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int Suppl 2013:3:1-150.