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Factors Underlying Racial Disparity in Utilization of Hepatitis C-Viremic Kidneys in the United States

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Abstract

Utilization of hepatitis C (HCV) viremic kidneys is increasing in the United States. We examined racial disparity in this utilization using UNOS/OPTN data (2014–2020) and mixed effects models adjusting for donor/recipient/center factors. Included in the study were 58,786 adults receiving a deceased donor kidney transplant from 191 centers. Two thousand six hundred thirteen (4%) received kidneys from HCV-viremic donors. Of these, 1598 (61%) were HCV seronegative and 1015 (49%) were HCV seropositive. Among seronegative recipients, before adjusting for waiting time and education, Blacks (OR 0.69, 95%CI (0.60, 0.80)), Hispanics (OR 0.63, 95%CI (0.51, 0.79)), and Asians (OR 0.69, 95%CI (0.53, 0.90)) were less likely than Whites to receive HCV-viremic kidneys. In final models, effect of race was attenuated. Notably, shorter waiting time (OR 0.65, 95%CI (0.63, 0.67)) and increasing educational level (grade school less likely compared to high school OR 0.67, 95% CI (0.49, 0.92) and college more likely than high school (OR 1.16 95% CI (1.02, 1.31)) were associated with receipt of HCV-viremic kidneys. Among HCV-seropositive recipients, recipient race was not independently associated with receipt of HCV-viremic kidneys; however, centers with larger populations of Black waitlisted patients were more likely to utilize HCV-viremic kidneys (OR 1.71, 95%CI (1.20, 2.45)) compared to other centers. Our results suggest recipient race does not independently determine who receives HCV-viremic kidneys; however, other underlying factors including waiting time, education (among seronegative), and center racial mix (among seropositive) contribute to the current differential distribution of HCV-viremic kidneys among races.

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Data Availability

The data is freely available from the OPTN/UNOS.

Code Availability

The authors will make the code available upon request.

Abbreviations

ANOVA:

Analysis of variance

cPRA:

Calculated panel reactive antibodies

D:

Donor positive

DCD:

Donation after cardiac death

EXPANDER:

Exploring transplants using hepatitis C-infected kidneys for HCV-negative recipients

GN:

Glomerulonephritis

HCV:

Hepatitis C

HIV:

Human immunodeficiency virus

HLA:

Human leukocyte antigen

HTN:

Hypertension

IQR:

Interquartile range

KAS:

Kidney allocation score

KDPI:

Kidney donor profile index

KDRI:

Kidney donor risk index

OPTN:

Organ procurement and transplant network

PHS:

Public health service

R:

Recipient positive

R:

Recipient negative

STAR:

Standard transplant analysis file

THINKER:

Transplanting Hepatitis C Kidneys into Negative Kidney Recipients

US:

United States

References

  1. Ison MG, Nalesnik MA. An update on donor-derived disease transmission in organ transplantation. Am J Transplant. 2011;11(6):1123–30. https://doi.org/10.1111/j.1600-6143.2011.03493.x.

    Article  CAS  PubMed  Google Scholar 

  2. Seem DL, Lee I, Umscheid CA, Kuehnert MJ. PHS guideline for reducing human immunodeficiency virus, hepatitis B virus, and hepatitis C virus transmission through organ transplantation. Public Health Rep. 2013;128(4):247–343. https://doi.org/10.1177/003335491312800403.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Durand CM, Zhang W, Brown DM, et al. A prospective multicenter pilot study of HIV-positive deceased donor to HIV-positive recipient kidney transplantation: HOPE in action. Am J Transplant. Jul 23 2020; https://doi.org/10.1111/ajt.16205

  4. Durand CM, Bowring MG, Brown DM, et al. Direct-acting antiviral prophylaxis in kidney transplantation from hepatitis C virus-infected donors to noninfected recipients: an open-label nonrandomized trial. Ann Intern Med. 2018;168(8):533–40. https://doi.org/10.7326/m17-2871.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Goldberg DS, Abt PL, Blumberg EA, et al. Trial of transplantation of HCV-infected kidneys into uninfected recipients. N Engl J Med. 2017;376(24):2394–5. https://doi.org/10.1056/NEJMc1705221.

    Article  PubMed  Google Scholar 

  6. Chang SH, Merzkani M, Lentine KL, et al. Trends in discard of kidneys from hepatitis C viremic donors in the United States. Clin J Am Soc Nephrol. 2021;16(2):251–61. https://doi.org/10.2215/cjn.10960720.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Wachterman MW, McCarthy EP, Marcantonio ER, Ersek M. Mistrust, misperceptions, and miscommunication: a qualitative study of preferences about kidney transplantation among African Americans. Transplant Proc. 2015;47(2):240–6. https://doi.org/10.1016/j.transproceed.2015.01.016.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Myaskovsky L, Almario Doebler D, Posluszny DM, et al. Perceived discrimination predicts longer time to be accepted for kidney transplant. Transplantation. 2012;93(4):423–9. https://doi.org/10.1097/TP.0b013e318241d0cd.

    Article  PubMed  PubMed Central  Google Scholar 

  9. McCauley M, Mussell A, Goldberg D, et al. Race, risk, and willingness of end-stage renal disease patients without hepatitis C virus to accept an HCV-infected kidney transplant. Transplantation. 2018;102(4):e163–70. https://doi.org/10.1097/tp.0000000000002099.

    Article  PubMed  Google Scholar 

  10. Howell EA, Egorova N, Balbierz A, Zeitlin J, Hebert PL. Black-white differences in severe maternal morbidity and site of care. Am J Obstet Gynecol. 2016;214(1):122.e1-7. https://doi.org/10.1016/j.ajog.2015.08.019.

    Article  PubMed  Google Scholar 

  11. Skinner J, Chandra A, Staiger D, Lee J, McClellan M. Mortality after acute myocardial infarction in hospitals that disproportionately treat black patients. Circulation. 2005;112(17):2634–41. https://doi.org/10.1161/circulationaha.105.543231.

    Article  PubMed  PubMed Central  Google Scholar 

  12. OPTN. Accessed 4/10/20, https://optn.transplant.hrsa.gov/data/request-data/data-request-instructions/

  13. Sonnenberg EM, Cohen JB, Hsu JY, et al. Association of kidney transplant center volume with 3-year clinical outcomes. Am J Kidney Dis. 2019;74(4):441–51. https://doi.org/10.1053/j.ajkd.2019.02.019.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Ross-Driscoll K, Kramer M, Lynch R, Plantinga L, Wedd J, Patzer R. Variation in racial disparities in liver transplant outcomes across transplant centers in the United States. Liver Transpl. 2021;27(4):558–67. https://doi.org/10.1002/lt.25918.

    Article  PubMed  Google Scholar 

  15. Rao PS, Schaubel DE, Guidinger MK, et al. A comprehensive risk quantification score for deceased donor kidneys: the kidney donor risk index. Transplantation. 2009;88(2):231–6. https://doi.org/10.1097/TP.0b013e3181ac620b.

    Article  PubMed  Google Scholar 

  16. Meyers MR, Shults J, Laskin B, et al. Use of public health service increased risk kidneys in pediatric renal transplant recipients. Pediatr Transplant. 2019;23(5): e13405. https://doi.org/10.1111/petr.13405.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Garonzik-Wang JM, James NT, Weatherspoon KC, et al. The aggressive phenotype: center-level patterns in the utilization of suboptimal kidneys. Am J Transplant. 2012;12(2):400–8. https://doi.org/10.1111/j.1600-6143.2011.03789.x.

    Article  CAS  PubMed  Google Scholar 

  18. Holscher CM, Bowring MG, Haugen CE, et al. National variation in increased infectious risk kidney offer acceptance. Transplantation. 2019;103(10):2157–63. https://doi.org/10.1097/tp.0000000000002631.

    Article  PubMed  PubMed Central  Google Scholar 

  19. Bowring MG, Shaffer AA, Massie AB, et al. Center-level trends in utilization of HCV-exposed donors for HCV-uninfected kidney and liver transplant recipients in the United States. Am J Transplant. 2019;19(8):2329–41. https://doi.org/10.1111/ajt.15355.

    Article  PubMed  PubMed Central  Google Scholar 

  20. OPTN. OPTN policy 8- Allocation of kidneys. Accessed 7/2020, 2020. https://optn.transplant.hrsa.gov/media/1200/optn_policies.pdf

  21. Patzer RE, Plantinga LC, Paul S, et al. Variation in dialysis facility referral for kidney transplantation among patients with end-stage renal disease in Georgia. JAMA. 2015;314(6):582–94. https://doi.org/10.1001/jama.2015.8897.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  22. Sutton AL, He J, Edmonds MC, Sheppard VB. Medical mistrust in Black breast cancer patients: acknowledging the roles of the trustor and the trustee. J Cancer Educ. 2019;34(3):600–7. https://doi.org/10.1007/s13187-018-1347-3.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Taylor DM, Bradley JA, Bradley C, et al. Limited health literacy is associated with reduced access to kidney transplantation. Kidney Int. 2019;95(5):1244–52. https://doi.org/10.1016/j.kint.2018.12.021.

    Article  PubMed  Google Scholar 

  24. Bradley H, Hall EW, Rosenthal EM, Sullivan PS, Ryerson AB, Rosenberg ES. Hepatitis C virus prevalence in 50 U.S states and D.C. by sex, birth cohort, and race: 2013-2016. Hepatol Commun. 2020;4(3):355–70. https://doi.org/10.1002/hep4.1457.

    Article  PubMed  PubMed Central  Google Scholar 

  25. Henry B. Drug pricing & challenges to hepatitis c treatment access. J Health Biomed Law. 2018;14:265–83.

    PubMed  PubMed Central  Google Scholar 

  26. Stepanova M, Kanwal F, El-Serag HB, Younossi ZM. Insurance status and treatment candidacy of hepatitis C patients: analysis of population-based data from the United States. Hepatology. 2011;53(3):737–45. https://doi.org/10.1002/hep.24131.

    Article  PubMed  Google Scholar 

  27. Torabi J, Rocca JP, Ajaimy M, et al. Commercial insurance delays direct-acting antiviral treatment for hepatitis C kidney transplantation into uninfected recipients. Transpl Infect Dis. 2021;23(1):e13449. https://doi.org/10.1111/tid.13449.

    Article  CAS  PubMed  Google Scholar 

  28. Hart A, Smith JM, Skeans MA, et al. OPTN/SRTR 2018 Annual Data Report: Kidney. Am J Transplant. 2020;20 Suppl s1:20-130. doi:https://doi.org/10.1111/ajt.15672

  29. Schold J, Srinivas TR, Sehgal AR, Meier-Kriesche HU. Half of kidney transplant candidates who are older than 60 years now placed on the waiting list will die before receiving a deceased-donor transplant. Clin J Am Soc Nephrol. 2009;4(7):1239–45. https://doi.org/10.2215/cjn.01280209.

    Article  PubMed  PubMed Central  Google Scholar 

  30. 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):1725–30. https://doi.org/10.1056/nejm199912023412303.

    Article  CAS  PubMed  Google Scholar 

  31. Glander P, Budde K, Schmidt D, et al. The ‘blood group O problem’ in kidney transplantation–time to change? Nephrol Dial Transplant. 2010;25(6):1998–2004. https://doi.org/10.1093/ndt/gfp779.

    Article  PubMed  Google Scholar 

  32. Boehmer U, Kressin NR, Berlowitz DR, Christiansen CL, Kazis LE, Jones JA. Self-reported vs administrative race/ethnicity data and study results. Am J Public Health. 2002;92(9):1471–2. https://doi.org/10.2105/ajph.92.9.1471.

    Article  PubMed  PubMed Central  Google Scholar 

  33. Grimes DA, Schulz KF. Bias and causal associations in observational research. Lancet. 2002;359(9302):248–52. https://doi.org/10.1016/s0140-6736(02)07451-2.

    Article  PubMed  Google Scholar 

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Funding

This study was supported by NIH grant T32DK077662 PI MM ABECASSIS MD.

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Authors and Affiliations

Authors

Contributions

Research idea and study design: KA; data analysis/interpretation: KA, RB, RCS, KG, NM, LZ; statistical analysis: KA, RB, KG, LZ; supervision, writing review and editing KA, RB, RCS, DL, LZ, AA. (LZ and DP contributed equally to this article).

Corresponding author

Correspondence to Kofi Atiemo.

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The study was approved by the Tulane University Institutional Review Board.

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Not applicable (retrospective analysis of de-identified data).

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Not applicable (retrospective analysis of de-identified data).

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The authors declare no competing interests.

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Atiemo, K., Baudier, R., Craig-Schapiro, R. et al. Factors Underlying Racial Disparity in Utilization of Hepatitis C-Viremic Kidneys in the United States. J. Racial and Ethnic Health Disparities 10, 2185–2194 (2023). https://doi.org/10.1007/s40615-022-01398-0

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  • DOI: https://doi.org/10.1007/s40615-022-01398-0

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