Association of the Estimated Glomerular Filtration Rate With vs Without a Coefficient for Race With Time to Eligibility for Kidney Transplant

Leila R Zelnick, Nicolae Leca, Bessie Young, Nisha Bansal, Leila R Zelnick, Nicolae Leca, Bessie Young, Nisha Bansal

Abstract

Importance: Kidney transplant is associated with improved survival and quality of life among patients with kidney failure; however, significant racial disparities have been noted in transplant access. Common equations that estimate glomerular filtration rate (eGFR) include adjustment for Black race; however, how inclusion of the race coefficient in common eGFR equations corresponds with measured GFR and whether it is associated with delayed eligibility for kidney transplant listing are unknown.

Objective: To compare eGFR with measured GFR and evaluate the association between eGFR calculated with vs without a coefficient for race and time to eligibility for kidney transplant.

Design, setting, and participants: This prospective cohort study used data from the Chronic Renal Insufficiency Cohort, a multicenter cohort study of participants with chronic kidney disease (CKD). Self-identified Black participants from that study were enrolled between April 2003 and September 2008, with follow-up through December 2018. Statistical analyses were completed on November 11, 2020.

Exposure: Estimated GFR, measured annually and estimated using the creatinine-based Chronic Kidney Disease-Epidemiology (CKD-EPI) equation with and without a race coefficient.

Main outcomes and measures: Iothalamate GFR (iGFR) measured in a subset of participants (n = 311) and time to achievement of an eGFR less than 20 mL/min/1.73 m2, an established threshold for kidney transplant referral and listing.

Results: Among 1658 self-identified Black participants, mean (SD) age was 58 (11) years, 848 (51%) were female, and mean (SD) eGFR was 44 (15) mL/min/1.73 m2. The CKD-EPI eGFR with the race coefficient overestimated iGFR by a mean of 3.1 mL/min/1.73 m2 (95% CI, 2.2-3.9 mL/min/1.73 m2; P < .001). The mean difference between CKD-EPI eGFR without the race coefficient and iGFR was of smaller magnitude (-1.7 mL/min/1.73 m2; 95% CI, -2.5 to -0.9 mL/min/1.73 m2). For participants with an iGFR of 20 to 25 mL/min/1.73 m2, the mean difference in eGFR with vs without the race coefficient and iGFR was 5.1 mL/min/1.73 m2 (95% CI, 3.3-6.9 mL/min/1.73 m2) vs 1.3 mL/min/1.73 m2 (95% CI, -0.3 to 2.9 mL/min/1.73 m2). Over a median follow-up time of 4 years (interquartile range, 1-10 years), use of eGFR calculated without vs with the race coefficient was associated with a 35% (95% CI, 29%-41%) higher risk of achieving an eGFR less than 20 mL/min/1.73 m2 and a shorter median time to this end point of 1.9 years.

Conclusions and relevance: In this cohort study, inclusion of the race coefficient in the estimation of GFR was associated with greater bias in GFR estimation and with delayed achievement of a clinical threshold for kidney transplant referral and eligibility. These findings suggest that nephrologists and transplant programs should be cautious when using current estimating equations to determine kidney transplant eligibility.

Conflict of interest statement

Conflict of Interest Disclosures: Dr Leca reported receiving grants from Novartis, Angion, CaredX, Natera, Veloxis, and TGI Institution outside the submitted work. Dr Young reported receiving support from the Veterans Affairs Puget Sound Health Care System. No other disclosures were reported.

Figures

Figure.. Kaplan-Meier Estimates of Time to Achievement…
Figure.. Kaplan-Meier Estimates of Time to Achievement of an Estimated Glomerular Filtration Rate (eGFR) Less Than 20 mL/min/1.73 m2
CKD-EPICYS indicates cystatin C–based CKD-EPI eGFR; CKD-EPIRC, creatinine-based CKD-EPI eGFR calculated with the race coefficient; CKD-EPIWRC, creatinine-based CKD-EPI eGFR calculated without the race coefficient.

References

    1. Kulkarni S, Ladin K, Haakinson D, Greene E, Li L, Deng Y. Association of racial disparities with access to kidney transplant after the implementation of the new kidney allocation system. JAMA Surg. 2019;154(7):618-625. doi:10.1001/jamasurg.2019.0512
    1. Sood A, Abdullah NM, Abdollah F, et al. . Rates of kidney transplantation from living and deceased donors for Blacks and Whites in the United States, 1998 to 2011. JAMA Intern Med. 2015;175(10):1716-1718. doi:10.1001/jamainternmed.2015.4530
    1. Purnell TS, Luo X, Cooper LA, et al. . Association of race and ethnicity with live donor kidney transplantation in the United States From 1995 to 2014. JAMA. 2018;319(1):49-61. doi:10.1001/jama.2017.19152
    1. Ojo AO, Port FK, Wolfe RA, Mauger EA, Williams L, Berling DP. Comparative mortality risks of chronic dialysis and cadaveric transplantation in black end-stage renal disease patients. Am J Kidney Dis. 1994;24(1):59-64. doi:10.1016/S0272-6386(12)80160-0
    1. Eneanya ND, Yang W, Reese PP. Reconsidering the consequences of using race to estimate kidney function. JAMA. 2019;322(2):113-114. doi:10.1001/jama.2019.5774
    1. Boyd RW, Lindo EG, Weeks LD, McLemore MR On racism: a new standard for publishing on racial health inequities. Health Affairs 2020 Blog. Accessed November 18, 2020.
    1. Levey AS, Titan SM, Powe NR, Coresh J, Inker LA. Kidney disease, race, and GFR estimation. Clin J Am Soc Nephrol. 2020;15(8):1203-1212. doi:10.2215/CJN.12791019
    1. Haugen CE, Chu NM, Ying H, et al. . Frailty and access to kidney transplantation. Clin J Am Soc Nephrol. 2019;14(4):576-582. doi:10.2215/CJN.12921118
    1. Denker M, Boyle S, Anderson AH, et al. ; Chronic Renal Insufficiency Cohort Study Investigators . Chronic Renal Insufficiency Cohort Study (CRIC): overview and summary of selected findings. Clin J Am Soc Nephrol. 2015;10(11):2073-2083. doi:10.2215/CJN.04260415
    1. Feldman HI, Appel LJ, Chertow GM, et al. ; Chronic Renal Insufficiency Cohort (CRIC) Study Investigators . The Chronic Renal Insufficiency Cohort (CRIC) study: design and methods. J Am Soc Nephrol. 2003;14(7)(suppl 2):S148-S153. doi:10.1097/01.ASN.0000070149.78399.CE
    1. Lash JP, Go AS, Appel LJ, et al. ; Chronic Renal Insufficiency Cohort (CRIC) Study Group . Chronic Renal Insufficiency Cohort (CRIC) study: baseline characteristics and associations with kidney function. Clin J Am Soc Nephrol. 2009;4(8):1302-1311. doi:10.2215/CJN.00070109
    1. Joffe M, Hsu CY, Feldman HI, Weir M, Landis JR, Hamm LL; Chronic Renal Insufficiency Cohort (CRIC) Study Group . Variability of creatinine measurements in clinical laboratories: results from the CRIC study. Am J Nephrol. 2010;31(5):426-434. doi:10.1159/000296250
    1. Anderson AH, Yang W, Hsu CY, et al. ; CRIC Study Investigators . Estimating GFR among participants in the Chronic Renal Insufficiency Cohort (CRIC) study. Am J Kidney Dis. 2012;60(2):250-261. doi:10.1053/j.ajkd.2012.04.012
    1. Levey AS, Stevens LA, Schmid CH, et al. ; CKD-EPI (Chronic Kidney Disease Epidemiology Collaboration) . A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604-612. doi:10.7326/0003-4819-150-9-200905050-00006
    1. Inker LA, Schmid CH, Tighiouart H, et al. ; CKD-EPI Investigators . Estimating glomerular filtration rate from serum creatinine and cystatin C. N Engl J Med. 2012;367(1):20-29. doi:10.1056/NEJMoa1114248
    1. Hsu CY, Propert K, Xie D, et al. ; CRIC Investigators . Measured GFR does not outperform estimated GFR in predicting CKD-related complications. J Am Soc Nephrol. 2011;22(10):1931-1937. doi:10.1681/ASN.2010101077
    1. Ku E, Xie D, Shlipak M, et al. ; CRIC Study Investigators . Change in measured GFR versus eGFR and CKD outcomes. J Am Soc Nephrol. 2016;27(7):2196-2204. doi:10.1681/ASN.2015040341
    1. Bolton WK; Renal Physicians Association . Renal physicians association clinical practice guideline: appropriate patient preparation for renal replacement therapy: guideline number 3. J Am Soc Nephrol. 2003;14(5):1406-1410. doi:10.1097/
    1. Kidney Disease: Improving Global Outcomes Transplant Work G. KDIGO clinical practice guideline for the care of kidney transplant recipients. American journal of transplantation: official journal of the American Society of Transplantation and the American Society of Transplant Surgeons. 2009;9 Suppl 3:S1-155. doi:10.1111/j.1600-6143.2009.02834.x
    1. 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 International Supplements. 2013;3(1):1-150.
    1. Therneau TM, Grambsch PM. Modeling survival data: extending the Cox model. New York: Springer; 2000. doi:10.1007/978-1-4757-3294-8
    1. Levey AS, Tighiouart H, Titan SM, Inker LA. Estimation of glomerular filtration rate with vs without including patient race. JAMA Intern Med. 2020;180(5):793-795. doi:10.1001/jamainternmed.2020.0045
    1. Ahmed S, Nutt CT, Eneanya ND, et al. . Examining the potential impact of race multiplier utilization in estimated glomerular filtration rate calculation on African-American care outcomes. J Gen Intern Med. 2020. doi:10.1007/s11606-020-06280-5
    1. Wolfe RA, Ashby VB, Milford EL, et al. . Comparison of mortality in all patients on dialysis, patients on dialysis awaiting transplantation, and recipients of a first cadaveric transplant. N Engl J Med. 1999;341(23):1725-1730. doi:10.1056/NEJM199912023412303
    1. Powe NR. Black kidney function matters: use or misuse of race? JAMA. 2020;324(8):737-738. doi:10.1001/jama.2020.13378

Source: PubMed

3
Subscribe