Can We Predict Kidney Graft Function and Graft Survival Using Hypothermic Machine Perfusion Parameters From Donors After Circulatory Death?

Author:

Offerni Juliano C. M.12345,Ai Li Erica1ORCID,Matti Danny13,Luke Grant1,Luke Patrick P.1234,Sener Alp12346

Affiliation:

1. Schulich School of Medicine and Dentistry, Western University, London, ON, Canada.

2. Matthew Mailing Center for Translational Transplant Studies, London, ON, Canada.

3. Division of Urology, Department of Surgery, London Health Sciences Center, London, ON, Canada.

4. Multi-Organ Transplant Program, London Health Sciences Center, London, ON, Canada.

5. Division of Urology, Department of Surgery, Max Rady College of Medicine, University of Manitoba, Winnipeg, MB, Canada.

6. Department of Microbiology and Immunology, Western University, London, ON, Canada.

Abstract

Background. Hypothermic machine perfusion (HMP) reduces renal injury in donation after circulatory death donors with a high Kidney Donor Profile Index (KDPI). This study aims to characterize the correlation between KDPI, HMP parameters, and donor vitals during the withdrawal period in predicting short- and long-term graft outcomes. Methods. ANOVA with Tukey’s honestly significant difference tests compared the relationship between average flow, average resistance, peak resistance, flow slope, and resistance slope on day 30, 1-y, and 3-y eGFR, and days of delayed graft function. Graft and recipient survival rates were assessed using Kaplan-Meier analysis. Results. The data for 72 grafts were suitable for analysis. Kidneys with KDPI >50% had a significantly higher day 30, and 1-y posttransplant eGFR, if HMP average flow was >150 mL/min, or the average resistance was <0.15 mm Hg/mL/min, compared with kidneys with also KDPI >50% but had not achieved the same pump parameters. There were no significant differences in the Kaplan-Meier analysis, considering recipient or graft survival, regardless of the KPDI score with 3- or 5-y outcomes. Conclusions. Use of average resistance and average flow from a HMP, in conjunction with KDPI, may be predictive of the short- and long-term function of donation after circulatory death kidney transplants.

Publisher

Ovid Technologies (Wolters Kluwer Health)

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