Donor-Recipient Matching to Optimize the Utility of High Kidney Donor Profile Index Kidneys

Transplant Proc. 2021 Apr;53(3):865-871. doi: 10.1016/j.transproceed.2020.10.040. Epub 2020 Dec 25.

Abstract

Background: In December 2014, the Kidney Donor Profile Index (KDPI) was developed to give more precise information on donor kidney quality. Kidneys with KDPI scores ≥ 85 (K ≥ 85) have been reported to have inferior outcomes to kidneys with KDPI scores < 85.

Methods: After the implementation of the new Kidney Allocation System, we developed a protocol to evaluate K ≥ 85 use. We analyzed the safety and efficacy of our institutional criteria and evaluated post-transplant outcomes. K ≥ 85 recipients were stratified based on their 1-year creatinine and estimated glomerular filtration rates to elucidate characteristics associated with serum creatinine < 1.7 mg/dL or estimated glomerular filtration rates ≤ 45 mL/min/1.73 m2.

Results: From December 2014 to December 2019, 304 deceased donor kidney transplants were performed at Hartford Hospital; 58 (19%) were K ≥ 85 with an average KDPI of 91%. There were 4 graft losses; 2 were death censored. Prolonged cold ischemia time and black recipient race were associated with inferior recipient graft function at 1 year.

Conclusions: High KDPI kidney use requires a multifaceted evaluation that takes into account donor and recipient characteristics for an ideal match. We have identified several characteristics that may predict optimal post-transplant kidney function.

Publication types

  • Evaluation Study

MeSH terms

  • Adult
  • Cold Ischemia / mortality
  • Creatinine / blood
  • Female
  • Glomerular Filtration Rate
  • Graft Survival
  • Humans
  • Kidney / physiopathology
  • Kidney Failure, Chronic / mortality
  • Kidney Failure, Chronic / physiopathology
  • Kidney Failure, Chronic / surgery*
  • Kidney Transplantation / methods
  • Kidney Transplantation / mortality*
  • Male
  • Middle Aged
  • Patient Selection*
  • Retrospective Studies
  • Tissue Donors / statistics & numerical data*
  • Tissue and Organ Procurement / methods*
  • Transplants / physiopathology

Substances

  • Creatinine