Abstract
Purpose
Five-year kidney graft loss currently stands at about 30%. We evaluate the clinical utility of a blood test measuring donor-derived cell-free DNA that detects rejection earlier and, potentially, improves diagnostic and therapeutic accuracy.
Methods
In a randomized controlled experiment, we measured the clinical practice of 175 practicing nephrologists, both with and without the use of dd-cfDNA testing. Providers cared for six simulated post-renal transplant patient cases whose ages ranged from 30 to 75 years and were 3–24 months post-transplant with typical presentations.
Results
154 nephrologists completed two rounds of simulated cases. At baseline, the study arms performed similarly, demonstrating no significant differences either in primary diagnosis (p = 0.853), decisions to biopsy or refer to transplant center (p = 1.000), or therapeutic management (p = 0.488). After introduction of the dd-cfDNA test, intervention nephrologists were more likely to arrive at the diagnosis of rejection (OR 4.00, 95% CI 1.93–8.30), make a correct decision on biopsy/transplant center referral (OR 11.07, 95% CI 4.87–25.16), and properly adjust therapeutic management (OR 2.37, 95% CI 1.07–5.24).
Conclusion
A sample of nationally representative, practicing nephrologists given dd-cfDNA to evaluate post-transplant patients were more likely to correctly diagnose early and subclinical allograft rejection, to send for biopsy or refer to transplant center, and to appropriately change treatment than those nephrologists without dd-cfDNA access.
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Abbreviations
- CPV:
-
Clinical performance and value
- dd-cfDNA:
-
Donor-derived cell-free DNA
- mmPCR:
-
Massively multiplexed polymerase chain reaction
- NGS:
-
Next-generation sequencing
- SNP:
-
Single nucleotide polymorphisms
References
Wang J, Skeans M, Israni A (2016) Current status of kidney transplant outcomes: dying to survive. Adv Chronic Kidney Dis 23(5):281–286
Salvadori M, Tsalouchos A (2017) Biomarkers in renal transplantation: an updated review. World J Transplant 7(3):161–178
Kidney Disease: Improving Global Outcomes (KDIGO) Transplant Work Group (2009) KDIGO clinical practice guideline for the care of kidney transplant recipients. Am. J. Transplant. Supp. 3:S1–S155
Moreso F, Ibernon M, Gomà M et al (2006) Subclinical rejection associated with chronic allograft nephropathy in protocol biopsies as a risk factor for late graft loss. Am. J. Transplant. 6(4):747–752. https://doi.org/10.1111/j.1600-6143.2005.01230.x
Beck J, Bierau S, Balzer S et al (2013) Digital droplet PCR for rapid quantification of donor DNA in the circulation of transplant recipients as a potential universal biomarker of graft injury. Clin. Chem. 59(12):1732–1741
De Vlaminck I, Valantine HA, Snyder TM et al (2014) Circulating cell-free DNA enables noninvasive diagnosis of heart transplant rejection. Sci Transl Med 6(241):241ra277
Sigdel T, Vitalone MJ, Tran TQ et al (2013) A rapid noninvasive assay for the detection of renal transplant injury. Transplantation 96(1):97–101
Loupy A, Haas M, Solez K et al (2017) The Banff 2015 kidney meeting report: current challenges in rejection classification and prospects for adopting molecular pathology. Am. J. Transplant. 17:28–41
Sigdel TK, Archila FA, Constantin T et al (2018) Optimizing detection of kidney transplant injury by assessment of donor-derived cell-free DNA via massively multiplex PCR. J Clin Med 8(1):E19. https://doi.org/10.3390/jcm/8010019
Peabody J, Strand V, Shimkada R, Lee R, Chernoff D (2013) Impact of rheumatoid arthritis disease activity test on clinical practice. PLoS ONE 8:e63215
Peabody J, Martin M, DeMaria L et al (2016) Clinical utility of a comprehensive, whole genome CMA testing platform in pediatrics: a prospective randomized controlled trial of simulated patients in physician practices. PLoS ONE 11(12):e0169064
Peabody JW, DeMaria LM, Tamondong-Lachica D et al (2017) Impact of a protein-based assay that predicts prostate cancer aggressiveness on urologists’ recommendations for active treatment or active surveillance: a randomized clinical utility trial. BMC Urol 17:51
Burgon TB, Cox-Chapman J, Czarnecki C et al (2018) Engaging primary care providers to reduce unwanted clinical variation and support ACO cost and quality goals: a unique provider-payer collaboration. Popul Health Manag. https://doi.org/10.1089/pop.2018.0111
Peabody J, Tran M, Paculdo D, Schrecker J, Valdenor C, Jeter E (2018) Clinical utility of definitive drug-drug interaction testing in primary care. J Clin Med 7(11):E384
Bergmann S, Tran M, Robison K et al (2019) Standardising hospitalist practice in sepsis and COPD care. BMJ Qual Saf. https://doi.org/10.1136/bmjqs-2018-008829
Peabody J, Luck J, Glassman P, Dresselhaus TR, Lee M (2000) Comparison of vignettes, standardized patients, and chart abstraction: a prospective validation study of 3 methods for measuring quality. JAMA 283(13):1715–1722
Solon O, Woo K, Quimbo SA, Peabody JW, Florentino J, Shimkhada R (2009) A novel method for measuring health care system performance: experience from QIDS in the Philippines. Health Policy Plan 24(3):167–174
Harada KM, Mandia-Sampaio EL, de Sandes-Freitas TV et al (2009) Risk factors associated with graft loss and patient survival after kidney transplantation. Transplant Proc 41(9):3667–3670. https://doi.org/10.1016/j.transproceed.2009.04.013
National Kidney Foundation (2002) K/DOQI clinical practice guidelines for chronic kidney disease: evaluation, classification, and stratification. Am J Kidney Dis 39(2 Suppl 1):S1–S266
Peabody J, Billings P, Valdenor C et al (2019) Variation in assessing renal allograft rejection: a national assessment of nephrology practice. Int J Nephrol. https://doi.org/10.1155/2019/5303284
Rambod M, Shabani M, Shokrpour N, Rafii F, Mohammadalliha J (2011) Quality of life of hemodialysis and renal transplantation patients. Health Care Manag (Frederick) 30(1):23–28
Axelrod DA, Schnitzler MA, Xiao H et al (2018) An economic assessment of contemporary kidney transplant practice. Am. J. Transplant. 18(5):1168–1176
Organ Procurement and Transplant Network. National Data. https://www.optn.transplant.hrsa.gov/data/view-data-reports/national-data/#. Accessed Mar 2019
Weems L, Strong J, Plummer D et al (2018) A quality collaboration in heart failure and pneumonia inpatient care at Novant Health: standardizing hospitalist practices to improve patient care and system performance. Jt Comm J Qual Patient Saf 45:199–206
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This study was funded by Natera, Inc., San Carlos, California.
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QURE, LLC, was contracted by Natera, Inc., to perform the study. PB, ZD, and SM are employees of Natera, Inc. JP, CV, MT, and DP are employees of QURE, LLC.
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Peabody, J., Billings, P., Valdenor, C. et al. Randomized clinical trial of a novel donor-derived cfDNA test to detect rejection in CPV-simulated renal transplant patients. Int Urol Nephrol 52, 1593–1601 (2020). https://doi.org/10.1007/s11255-020-02491-1
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DOI: https://doi.org/10.1007/s11255-020-02491-1