Literature DB >> 20977638

Center-level patterns of indicated willingness to and actual acceptance of marginal kidneys.

A B Massie1, D E Stewart, N N Dagher, R A Montgomery, N M Desai, D L Segev.   

Abstract

UNet(SM) , the UNOS data collection and electronic organ allocation system, allows centers to specify organ offer acceptance criteria for patients on their kidney waiting list. We hypothesized that the system might not be fully utilized and that the criteria specified by most transplant centers would be much broader than the characteristics of organs actually transplanted by those centers. We analyzed the distribution of criteria values among waitlist patients (N = 304 385) between January 2000 and February 2009, mean criteria values among listed candidates on February 19, 2009 and differences between a center's specified criteria and the organs it accepted for transplant between July 2005 and April 2009. We found wide variation in use of criteria variables, with some variables mostly or entirely unused. Most centers specified very broad criteria, with little within-center variation by patient. An offer of a kidney with parameters more extreme than the maximum actually transplanted at that center was designated a 'surplus offer' and indicated a potentially avoidable delay in distribution. We found 7373 surplus offers (7.1% of all offers), concentrated among a small number of centers. The organ acceptance criteria system is currently underutilized, leading to possibly avoidable inefficiencies in organ distribution. ©2010 The Authors Journal compilation©2010 The American Society of Transplantation and the American Society of Transplant Surgeons.

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Year:  2010        PMID: 20977638     DOI: 10.1111/j.1600-6143.2010.03294.x

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


  7 in total

1.  A Risk Index for Living Donor Kidney Transplantation.

Authors:  A B Massie; J Leanza; L M Fahmy; E K H Chow; N M Desai; X Luo; E A King; M G Bowring; D L Segev
Journal:  Am J Transplant       Date:  2016-02-26       Impact factor: 8.086

2.  MELD Exceptions and Rates of Waiting List Outcomes.

Authors:  A B Massie; B Caffo; S E Gentry; E C Hall; D A Axelrod; K L Lentine; M A Schnitzler; A Gheorghian; P R Salvalaggio; D L Segev
Journal:  Am J Transplant       Date:  2011-09-15       Impact factor: 8.086

3.  Association Between Organ Procurement Organization Social Network Centrality and Kidney Discard and Transplant Outcomes.

Authors:  Neel M Butala; Marissa D King; William Reitsma; Richard N Formica; Peter L Abt; Peter P Reese; Chirag R Parikh
Journal:  Transplantation       Date:  2015-12       Impact factor: 4.939

4.  National Variation in Increased Infectious Risk Kidney Offer Acceptance.

Authors:  Courtenay M Holscher; Mary G Bowring; Christine E Haugen; Sheng Zhou; Allan B Massie; Sommer E Gentry; Dorry L Segev; Jacqueline M Garonzik Wang
Journal:  Transplantation       Date:  2019-10       Impact factor: 4.939

Review 5.  Increasing the pool of deceased donor organs for kidney transplantation.

Authors:  Jesse D Schold; Dorry L Segev
Journal:  Nat Rev Nephrol       Date:  2012-03-27       Impact factor: 28.314

6.  Changes in Utilization and Discard of HCV Antibody-Positive Deceased Donor Kidneys in the Era of Direct-Acting Antiviral Therapy.

Authors:  Mary G Bowring; Lauren M Kucirka; Allan B Massie; Tanveen Ishaque; Sunjae Bae; Ashton A Shaffer; Jacqueline Garonzik Wang; Mark Sulkowski; Niraj Desai; Dorry L Segev; Christine M Durand
Journal:  Transplantation       Date:  2018-12       Impact factor: 4.939

7.  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

  7 in total

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