Perfusion Parameters of Donation After Cardiac Death Kidneys Predict Early Transplant Outcomes Based on Expanded

Q Tai1, W Xue1, X Ding1

  • 1Department of Renal Transplantation, Center of Nephropathy, The First Affiliated Hospital, Medical College of Xi'an Jiaotong University, Xi'an City, People's Republic of China.

Insights

Hypothermic machine perfusion parameters, particularly terminal resistance, significantly predict early transplant outcomes for kidneys from expanded criteria donors (ECD). These findings aid in evaluating donor kidney quality for improved graft survival.

Area of Science:

  • Nephrology
  • Transplant Surgery
  • Organ Preservation

Background:

  • Donation after cardiac death (DCD) is the sole source of deceased donors in China.
  • Hypothermic machine perfusion (HMP) is increasingly utilized for organ preservation.
  • This study investigates HMP parameters for predicting early transplant outcomes in DCD kidneys, focusing on expanded criteria donors (ECD).

Purpose of the Study:

  • To identify hypothermic machine perfusion parameters associated with early transplant outcomes.
  • To evaluate the predictive value of HMP parameters for delayed graft function (DGF) in DCD kidneys.
  • To assess the utility of HMP parameters in conjunction with ECD designation.

Main Methods:

  • Analysis of 446 consecutive DCD kidneys preserved with HMP (LifePort).
  • Comparison of ECD and non-ECD groups.
  • Logistic regression analysis to identify significant predictors of DGF, including LifePort parameters and pretransplant factors.

Main Results:

  • DGF rates were higher in the ECD group (20.25%) compared to the non-ECD group (11.72%).
  • Terminal resistance was the most significant predictor of DGF (OR 2.44, P < .001).
  • A predictive model incorporating terminal resistance, hypotension, creatinine, and cause of death demonstrated good predictive ability (c-statistic 0.851).

Conclusions:

  • LifePort HMP parameters offer granular insights into DCD kidney quality.
  • HMP parameters provide valuable information beyond ECD designation for predicting transplant outcomes.
  • These findings can enhance donor kidney selection and improve early graft function.
Abstract

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