Literature DB >> 26954720

Effects of High-Risk Kidneys on Scientific Registry of Transplant Recipients Program Quality Reports.

J J Snyder1,2, N Salkowski1, A Wey1, A K Israni1,2,3, J D Schold4, D L Segev1,5, B L Kasiske1,2.   

Abstract

There is a perception that transplanting high-risk kidneys causes programs to be identified as underperforming, thereby increasing the frequency of discards and diminishing access to transplant. Thus, the Organ Procurement and Transplantation Network (OPTN) has considered excluding transplants using kidneys from donors with high Kidney Donor Profile Index (KDPI) scores (≥0.85) when assessing program performance. We examined whether accepting high-risk kidneys (KDPI ≥0.85) for transplant yields worse outcome evaluations. Despite a clear relationship between KDPI and graft failure and mortality, there was no relationship between a program's use of high-KDPI kidneys and poor performance evaluations after risk adjustment. Excluding high-KDPI donor transplants from the June 2015 evaluations did not alter the programs identified as underperforming, because in every case underperforming programs also had worse-than-expected outcomes among lower-risk donor transplants. Finally, we found that hypothetically accepting and transplanting additional kidneys with KDPI similar to that of kidneys currently discarded would not adversely affect program evaluations. Based on the study findings, there is no evidence that programs that accept higher-KDPI kidneys are at greater risk for low performance evaluations, and risk aversion may limit access to transplant for candidates while providing no measurable benefit to program evaluations. Published 2016. This article is a U.S. Government work and is in the public domain in the USA.

Entities:  

Keywords:  Organ Procurement and Transplantation Network (OPTN); Scientific Registry for Transplant Recipients (SRTR); clinical research/practice; donors and donation: deceased; kidney transplantation/nephrology; organ acceptance; organ procurement and allocation

Mesh:

Year:  2016        PMID: 26954720     DOI: 10.1111/ajt.13783

Source DB:  PubMed          Journal:  Am J Transplant        ISSN: 1600-6135            Impact factor:   8.086


  14 in total

1.  A Five-Tier System for Improving the Categorization of Transplant Program Performance.

Authors:  Andrew Wey; Nicholas Salkowski; Bertram L Kasiske; Ajay K Israni; Jon J Snyder
Journal:  Health Serv Res       Date:  2017-06-13       Impact factor: 3.402

2.  The relationship between the C-statistic and the accuracy of program-specific evaluations.

Authors:  Andrew Wey; Nicholas Salkowski; Bertram L Kasiske; Melissa A Skeans; Sally K Gustafson; Ajay K Israni; Jon J Snyder
Journal:  Am J Transplant       Date:  2018-10-29       Impact factor: 8.086

3.  Potential Implications of Recent and Proposed Changes in the Regulatory Oversight of Solid Organ Transplantation in the United States.

Authors:  B L Kasiske; N Salkowski; A Wey; A K Israni; J J Snyder
Journal:  Am J Transplant       Date:  2016-07-28       Impact factor: 8.086

4.  Functional status-based risk-benefit analyses of high-KDPI kidney transplant versus dialysis.

Authors:  Kevin Bui; Vikram Kilambi; Sanjay Mehrotra
Journal:  Transpl Int       Date:  2019-07-31       Impact factor: 3.782

5.  Comparing Scientific Registry of Transplant Recipients posttransplant program-specific outcome ratings at listing with subsequent recipient outcomes after transplant.

Authors:  Andrew Wey; Nicholas Salkowski; Bertram L Kasiske; Melissa Skeans; Cory R Schaffhausen; Sally K Gustafson; Ajay K Israni; Jon J Snyder
Journal:  Am J Transplant       Date:  2018-08-31       Impact factor: 8.086

6.  Evaluation of Accepting Kidneys of Varying Quality for Transplantation or Expedited Placement With Decision Trees.

Authors:  Vikram Kilambi; Kevin Bui; Gordon B Hazen; John J Friedewald; Daniela P Ladner; Bruce Kaplan; Sanjay Mehrotra
Journal:  Transplantation       Date:  2019-05       Impact factor: 4.939

7.  Nonutilization of Kidneys From Donors After Circulatory Determinant of Death.

Authors:  Yingxin Lin; Armando Teixeira-Pinto; Helen Opdam; Jeremy R Chapman; Jonathan C Craig; Natasha Rogers; Henry Pleass; Christopher Davies; Stephen McDonald; Jean Yang; Wai Lim; Germaine Wong
Journal:  Transplant Direct       Date:  2022-05-13

8.  Seeking new answers to old questions about public reporting of transplant program performance in the United States.

Authors:  Bertram L Kasiske; Andrew Wey; Nicholas Salkowski; David Zaun; Cory R Schaffhausen; Ajay K Israni; Jon J Snyder
Journal:  Am J Transplant       Date:  2018-09-06       Impact factor: 8.086

9.  Prospective Validation of Prediction Model for Kidney Discard.

Authors:  Sheng Zhou; Allan B Massie; Courtenay M Holscher; Madeleine M Waldram; Tanveen Ishaque; Alvin G Thomas; Dorry L Segev
Journal:  Transplantation       Date:  2019-04       Impact factor: 4.939

10.  Trends in Usage and Outcomes for Expanded Criteria Donor Kidney Transplantation in the United States Characterized by Kidney Donor Profile Index.

Authors:  Aparna Rege; Bill Irish; Anthony Castleberry; Deepak Vikraman; Scott Sanoff; Kadiyala Ravindra; Bradley Collins; Debra Sudan
Journal:  Cureus       Date:  2016-11-22
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