Literature DB >> 26932575

Changes in Discard Rate After the Introduction of the Kidney Donor Profile Index (KDPI).

S Bae1, A B Massie1,2, X Luo1, S Anjum1, N M Desai1, D L Segev1,2,3.   

Abstract

Since March 26, 2012, the Kidney Donor Profile Index (KDPI) has been provided with all deceased-donor kidney offers, with the goal of improving the expanded criteria donor (ECD) indicator. Although an improved risk index may facilitate identification and transplantation of marginal yet viable kidneys, a granular percentile system may reduce provider-patient communication flexibility, paradoxically leading to more discards ("labeling effect"). We studied the discard rates of the kidneys recovered for transplantation between March 26, 2010 and March 25, 2012 ("ECD era," N = 28 636) and March 26, 2012 and March 25, 2014 ("KDPI era," N = 29 021) using Scientific Registry of Transplant Recipients (SRTR) data. There was no significant change in discard rate from ECD era (18.1%) to KDPI era (18.3%) among the entire population (adjusted odds ratio [aOR] = 0.97 1.041.10 , p = 0.3), or in any KDPI stratum. However, among kidneys in which ECD and KDPI indicators were discordant, "high risk" standard criteria donor (SCD) kidneys (with KDPI > 85) were at increased risk of discard in the KDPI era (aOR = 1.07 1.421.89 , p = 0.02). Yet, recipients of these kidneys were at much lower risk of death (adjusted Risk Ratio [aRR] = 0.56 0.770.94 at 2 years posttransplant) compared to those remaining on dialysis waiting for low-KDPI kidneys. Our findings suggest that there might be an unexpected, harmful labeling effect of reporting a high KDPI for SCD kidneys, without the expected advantage of providing a more granular risk index. © Copyright 2016 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  clinical decision-making; clinical research/practice; kidney transplantation/nephrology; organ acceptance; organ procurement and allocation; patient education

Mesh:

Year:  2016        PMID: 26932575      PMCID: PMC4925251          DOI: 10.1111/ajt.13769

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


  16 in total

1.  The Kidney Donor Profile Index (KDPI) of marginal donors allocated by standardized pretransplant donor biopsy assessment: distribution and association with graft outcomes.

Authors:  I Gandolfini; C Buzio; P Zanelli; A Palmisano; E Cremaschi; A Vaglio; G Piotti; L Melfa; G La Manna; G Feliciangeli; M Cappuccilli; M P Scolari; I Capelli; L Panicali; O Baraldi; S Stefoni; A Buscaroli; L Ridolfi; A D'Errico; G Cappelli; D Bonucchi; E Rubbiani; A Albertazzi; A Mehrotra; P Cravedi; U Maggiore
Journal:  Am J Transplant       Date:  2014-08-25       Impact factor: 8.086

Review 2.  Development of organ-specific donor risk indices.

Authors:  Sanjeev K Akkina; Sumeet K Asrani; Yi Peng; Peter Stock; W Ray Kim; Ajay K Israni
Journal:  Liver Transpl       Date:  2012-04       Impact factor: 5.799

3.  Effective communication of standard errors and confidence intervals.

Authors:  Thomas A Louis; Scott L Zeger
Journal:  Biostatistics       Date:  2008-06-10       Impact factor: 5.899

4.  KDPI and donor selection.

Authors:  A Gupta; G Chen; B Kaplan
Journal:  Am J Transplant       Date:  2014-08-25       Impact factor: 8.086

5.  Models for longitudinal data: a generalized estimating equation approach.

Authors:  S L Zeger; K Y Liang; P S Albert
Journal:  Biometrics       Date:  1988-12       Impact factor: 2.571

6.  Survival benefit of primary deceased donor transplantation with high-KDPI kidneys.

Authors:  A B Massie; X Luo; E K H Chow; J L Alejo; N M Desai; D L Segev
Journal:  Am J Transplant       Date:  2014-08-19       Impact factor: 8.086

7.  A comprehensive risk quantification score for deceased donor kidneys: the kidney donor risk index.

Authors:  Panduranga S Rao; Douglas E Schaubel; Mary K Guidinger; Kenneth A Andreoni; Robert A Wolfe; Robert M Merion; Friedrich K Port; Randall S Sung
Journal:  Transplantation       Date:  2009-07-27       Impact factor: 4.939

Review 8.  Access to renal transplantation for the elderly in the face of new allocation policy: a review of contemporary perspectives on "older" issues.

Authors:  Paul L Tso
Journal:  Transplant Rev (Orlando)       Date:  2013-10-10       Impact factor: 3.943

9.  Is the Kidney Donor Risk Index a step forward in the assessment of deceased donor kidney quality?

Authors:  Alison P K Lee; Daniel Abramowicz
Journal:  Nephrol Dial Transplant       Date:  2014-10-04       Impact factor: 5.992

10.  New national allocation policy for deceased donor kidneys in the United States and possible effect on patient outcomes.

Authors:  Ajay K Israni; Nicholas Salkowski; Sally Gustafson; Jon J Snyder; John J Friedewald; Richard N Formica; Xinyue Wang; Eugene Shteyn; Wida Cherikh; Darren Stewart; Ciara J Samana; Adrine Chung; Allyson Hart; Bertram L Kasiske
Journal:  J Am Soc Nephrol       Date:  2014-05-15       Impact factor: 10.121

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  35 in total

1.  Consent and labeling in the use of infectious risk donor kidneys: A response to "Information Overload".

Authors:  Mary G Bowring; Allan B Massie; Macey Henderson; Dorry L Segev
Journal:  Am J Transplant       Date:  2018-07-02       Impact factor: 8.086

2.  Proteins in Preservation Fluid as Predictors of Delayed Graft Function in Kidneys from Donors after Circulatory Death.

Authors:  Bas W M van Balkom; Hendrik Gremmels; Liselotte S S Ooms; Raechel J Toorop; Frank J M F Dor; Olivier G de Jong; Laura A Michielsen; Gert J de Borst; Wilco de Jager; Alferso C Abrahams; Arjan D van Zuilen; Marianne C Verhaar
Journal:  Clin J Am Soc Nephrol       Date:  2017-05-08       Impact factor: 8.237

3.  Deceased-donor acute kidney injury is not associated with kidney allograft failure.

Authors:  Isaac E Hall; Enver Akalin; Jonathan S Bromberg; Mona D Doshi; Tom Greene; Meera N Harhay; Yaqi Jia; Sherry G Mansour; Sumit Mohan; Thangamani Muthukumar; Peter P Reese; Bernd Schröppel; Pooja Singh; Heather R Thiessen-Philbrook; Francis L Weng; Chirag R Parikh
Journal:  Kidney Int       Date:  2018-11-20       Impact factor: 10.612

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.  Characteristics and Performance of Unilateral Kidney Transplants from Deceased Donors.

Authors:  Syed Ali Husain; Mariana C Chiles; Samnang Lee; Stephen O Pastan; Rachel E Patzer; Bekir Tanriover; Lloyd E Ratner; Sumit Mohan
Journal:  Clin J Am Soc Nephrol       Date:  2017-12-07       Impact factor: 8.237

6.  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

Review 7.  Expanding deceased donor kidney transplantation: medical risk, infectious risk, hepatitis C virus, and HIV.

Authors:  Jessica M Ruck; Dorry L Segev
Journal:  Curr Opin Nephrol Hypertens       Date:  2018-11       Impact factor: 2.894

8.  Who can tolerate a marginal kidney? Predicting survival after deceased donor kidney transplant by donor-recipient combination.

Authors:  Sunjae Bae; Allan B Massie; Alvin G Thomas; Gahyun Bahn; Xun Luo; Kyle R Jackson; Shane E Ottmann; Daniel C Brennan; Niraj M Desai; Josef Coresh; Dorry L Segev; Jacqueline M Garonzik Wang
Journal:  Am J Transplant       Date:  2018-07-14       Impact factor: 8.086

9.  Machine perfusion and long-term kidney transplant recipient outcomes across allograft risk strata.

Authors:  Shaifali Sandal; Xun Luo; Allan B Massie; Steven Paraskevas; Marcelo Cantarovich; Dorry L Segev
Journal:  Nephrol Dial Transplant       Date:  2018-07-01       Impact factor: 5.992

10.  R Open Source Programming Code for Calculation of the Kidney Donor Profile Index and Kidney Donor Risk Index.

Authors:  Boris Bikbov
Journal:  Kidney Dis (Basel)       Date:  2018-09-05
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