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Impact of Deceased Donor Mode of Death and Kidney Donor Profile Index on Baseline Donor Derived Cell Free DNA in Kidney Transplant Recipients

B. Chopra, A. Grazier, K. K. Sureshkumar

Allegheny Health Network, Pittsburgh, PA

Meeting: 2021 American Transplant Congress

Abstract number: 634

Keywords: Donors, marginal, Kidney transplantation

Topic: Clinical Science » Biomarkers, Immune Assessment and Clinical Outcomes

Session Information

Session Name: Biomarkers, Immune Assessment and Clinical Outcomes

Session Type: Poster Abstract

Session Date & Time: None. Available on demand.

Location: Virtual

*Purpose: Donor derived-cell free DNA (dd-cfDNA) is a novel serum biomarker available for earlier prediction of acute rejection in renal allograft. Baseline dd-cfDNA values are <1% in 96% of kidney transplant recipients (KTRs). We aimed to explore any differences in baseline dd-cfDNA levels among deceased donor KTRs stratified by the mode of donor death: donation after brain death (DBD) vs. donation after cardiac death (DCD). We also aimed to stratify baseline dd-cfDNA values according to different levels of kidney donor profile index (KDPI).

*Methods: Our center has been checking dd-cfDNA levels (AlloSure, CareDx, Brisbane, CA) as for-cause and as surveillance in high immunological risk KTRs since 2018. We identified deceased donor KTRs at our center between April 2018 and June 2020 who had dd-cfDNA measured between 4 and 12 weeks post-transplant. A dd-cfDNA value ≥1.0% prompted allograft biopsy. Patient with biopsy evidence of rejection were excluded from the analysis since our aim was to compare baseline values. The average dd-cfDNA levels for each patient between 4 and 12 weeks post-transplant were compared between DBD and DCD KTRs and among the following KDPI groups: 0-20%, 21-50%, 51-84% and ≥85% using t test. A linear regression was constructed comparing dd-cfDNA levels with increasing KDPI.

*Results: We identified 80 deceased donor KTRs with 189 dd-cfDNAA levels during the study period. There was no significant difference between average values of dd-cfDNA levels between DBD (n=59) and DCD (n=21) KTRs (0.45±0.39 vs.0.47±0.26, p=0.84). The average dd-cfDNA levels stratified by KDPI categories were as follows: 0-20% (n=11): 0.30±0.15; 21-50% (n=21): 0.49±0.30; 51-84% (n=34): 0.38±0.23 and ≥85% (n=14): 0.72±0.61. There was significant linear correlation between dd-cfDNA levels and increasing KDPI as shown in figure 1.

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*Conclusions:

Mode of donor death did not impact baseline dd-cfDNA levels despite increased risk for ischemia-reperfusion injury and delayed graft function with DCD kidney transplantation. Significant linear correlation between baseline dd-cfDNA levels and increasing KDPI could be reflective of higher levels of ongoing intra-graft inflammation with increasing KDPI. Our study indicates that baseline dd-cfDNA could be influenced by different donor characteristics that define KDPI.

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To cite this abstract in AMA style:

Chopra B, Grazier A, Sureshkumar KK. Impact of Deceased Donor Mode of Death and Kidney Donor Profile Index on Baseline Donor Derived Cell Free DNA in Kidney Transplant Recipients [abstract]. Am J Transplant. 2021; 21 (suppl 3). https://atcmeetingabstracts.com/abstract/impact-of-deceased-donor-mode-of-death-and-kidney-donor-profile-index-on-baseline-donor-derived-cell-free-dna-in-kidney-transplant-recipients/. Accessed June 6, 2025.

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