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Time-Effect of Donor and Recipient Characteristics on Graft Survival after Kidney Transplantation

E. Molmenti,1 J. Yang,3 C. Molmenti,2 E. Grodstein,1 H. Rilo,1 L. Teperman.1

1Surgery, Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY
2Feinstein Institute, Zucker School of Medicine at Hofstra/Northwell, Manhasset, NY
3Epidemiology, Mailman Schoool of Public Health, Columbia University, New York, NY.

Meeting: 2018 American Transplant Congress

Abstract number: C58

Keywords: Allocation, Cadaveric organs, Graft survival, Resource utilization

Session Information

Date: Monday, June 4, 2018

Session Name: Poster Session C: Kidney Donor Selection / Management Issues

Session Time: 6:00pm-7:00pm

 Presentation Time: 6:00pm-7:00pm

Location: Hall 4EF

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Background

The current kidney allocation system (KAS) is based on the Kidney Donor Profile Index (KDPI) and the Estimated Post-Transplant Survival (EPTS), quality-based “longevity matching” strategies that provide only a momentary snapshot of expected outcomes at the time of transplantation.

The purpose of our study was to define on a continuous timeline the relative risk as well as the mutual interactions of both donor and recipient characteristics on graft survival after transplantation.

Methods

39,108 subjects who underwent kidney transplant between October 25, 1999 and January 1, 2007 were identified in the United Network for Organ Sharing (UNOS) dataset. Kidney recipients younger than 18, with missing age, and those with multiple transplants were excluded. Our primary outcome was graft survival.

Results

During the first year after transplantation, both donor and recipient models showed identical relevance. From the first to the sixth years, although the two ROC curves were nearly identical, the donor model outweighed the recipient model. Both models intersected again at the sixth year. From that time onward, the ROC curve for recipient characteristics model predominated over the ROC curve for donor characteristics model. The predictive value of the recipient model (AUC=0.752) was greater than that of the donor model (AUC=0.673)

Conclusions

We hope that this model will provide additional guidance and risk stratification to further optimize organ allocation based on the dynamic interaction of both donor and recipient characteristics over time.

CITATION INFORMATION: Molmenti E., Yang J., Molmenti C., Grodstein E., Rilo H., Teperman L. Time-Effect of Donor and Recipient Characteristics on Graft Survival after Kidney Transplantation Am J Transplant. 2017;17 (suppl 3).

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To cite this abstract in AMA style:

Molmenti E, Yang J, Molmenti C, Grodstein E, Rilo H, Teperman L. Time-Effect of Donor and Recipient Characteristics on Graft Survival after Kidney Transplantation [abstract]. https://atcmeetingabstracts.com/abstract/time-effect-of-donor-and-recipient-characteristics-on-graft-survival-after-kidney-transplantation/. Accessed February 28, 2021.

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