Literature DB >> 17428288

Developing organ offer and acceptance measures: when 'good' organs are turned down.

R A Wolfe1, F B LaPorte, A M Rodgers, E C Roys, G Fant, A B Leichtman.   

Abstract

Turndowns of offers of deceased donor kidneys for transplantation can contribute to inefficiencies in the organ distribution system and inequality in access to donated organs. Match run data were obtained for 4967 'good' kidneys placed and transplanted in 2005 after fewer than 50 offers. These kidneys were not recovered from donation after cardiac death or expanded criteria donors, or from donors with a history of substance abuse. On average, these good kidneys were not accepted until after seven offers to candidates and after offers to 2.4 programs. Models for the likelihood of acceptance found several donor and candidate characteristics to be significantly related to acceptance rates (p < 0.05). After accounting for these variables, there remained 2- to 3-fold differences among transplant programs in acceptance rates. These models could be used to identify kidney transplant centers with exceptional acceptance practices. Several strategies might be employed to increase acceptance rates for good organs.

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Year:  2007        PMID: 17428288     DOI: 10.1111/j.1600-6143.2007.01784.x

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


  10 in total

1.  Influence of kidney offer acceptance behavior on metrics of allocation efficiency.

Authors:  Andrew Wey; Nicholas Salkowski; Bertram L Kasiske; Ajay K Israni; Jon J Snyder
Journal:  Clin Transplant       Date:  2017-08-02       Impact factor: 2.863

2.  Achieving Equity through Reducing Variability in Accepting Deceased Donor Kidney Offers.

Authors:  Sumit Mohan; Mariana C Chiles
Journal:  Clin J Am Soc Nephrol       Date:  2017-07-27       Impact factor: 8.237

3.  Outcomes of Deceased Donor Kidney Offers to Patients at the Top of the Waiting List.

Authors:  Anne M Huml; Jeffrey M Albert; J Daryl Thornton; Ashwini R Sehgal
Journal:  Clin J Am Soc Nephrol       Date:  2017-07-27       Impact factor: 8.237

4.  A kidney offer acceptance decision tool to inform the decision to accept an offer or wait for a better kidney.

Authors:  Andrew Wey; Nicholas Salkowski; Walter K Kremers; Cory R Schaffhausen; Bertram L Kasiske; Ajay K Israni; Jon J Snyder
Journal:  Am J Transplant       Date:  2017-10-17       Impact factor: 8.086

5.  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

6.  Deceased Brain Dead Donor Liver Transplantation and Utilization in the United States: Nighttime and Weekend Effects.

Authors:  Dustin J Carpenter; Mariana C Chiles; Elizabeth C Verna; Karim J Halazun; Jean C Emond; Lloyd E Ratner; Sumit Mohan
Journal:  Transplantation       Date:  2019-07       Impact factor: 4.939

7.  A Donor Utilization Index to Assess the Utilization and Discard of Deceased Donor Kidneys Perceived as High Risk.

Authors:  Corey Brennan; Syed Ali Husain; Kristen L King; Demetra Tsapepas; Lloyd E Ratner; Zhezhen Jin; Jesse D Schold; Sumit Mohan
Journal:  Clin J Am Soc Nephrol       Date:  2019-10-17       Impact factor: 8.237

8.  Accept or refuse? Factors influencing the decision-making of transplant surgeons who are offered a pancreas: results of a qualitative study.

Authors:  Julika Loss; Karl P Drewitz; Hans J Schlitt; Martin Loss
Journal:  BMC Surg       Date:  2013-10-23       Impact factor: 2.102

9.  Association Between Declined Offers of Deceased Donor Kidney Allograft and Outcomes in Kidney Transplant Candidates.

Authors:  S Ali Husain; Kristen L King; Stephen Pastan; Rachel E Patzer; David J Cohen; Jai Radhakrishnan; Sumit Mohan
Journal:  JAMA Netw Open       Date:  2019-08-02

10.  The probability of receiving a kidney transplantation in end-stage kidney disease patients who are treated with haemodiafiltration or haemodialysis: a pooled individual participant data from four randomised controlled trials.

Authors:  Robin W M Vernooij; Way Law; Sanne A E Peters; Bernard Canaud; Andrew Davenport; Muriel P C Grooteman; Fatih Kircelli; Francesco Locatelli; Francisco Maduell; Marion Morena; Menso J Nubé; Ercan Ok; Ferran Torres; Mark Woodward; Peter J Blankestijn; Michiel L Bots
Journal:  BMC Nephrol       Date:  2021-02-25       Impact factor: 2.388

  10 in total

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