Literature DB >> 35537779

A Composite End Point of Graft Status and eGFR at 1 Year to Improve the Scientific Registry of Transplant Recipients' Five-Tier Rating System.

Kaicheng Wang1, Yanhong Deng1, Darren Stewart2, Richard N Formica3.   

Abstract

BACKGROUND: Performance of kidney transplant programs in the United States is monitored and publicly reported by the Scientific Registry of Transplant Recipients (SRTR). With relatively few allograft failure events per program and increasing homogeneity in program performance, quantifying meaningful differences in program competency based only on 1-year survival rates is challenging.
METHODS: We explored whether the traditional end point of allograft failure at 1 year can be improved by incorporating a measure of allograft function (i.e., eGFR) into a composite end point. We divided SRTR data from 2008 through 2018 into a training and validation set and recreated SRTR tiers, using the traditional and composite end points. The conditional 5-year deceased donor allograft survival and 5-year eGFR were then assessed using each approach.
RESULTS: Compared with the traditional end point, the composite end point of graft failure or eGFR <30 ml/min per 1.73 m2 at 1-year post-transplant performed better in stratifying transplant programs based on long-term deceased donor graft survival. For tiers 1 through 5 respectively, the 5-year conditional graft survival was 72.9%, 74.8%, 75.4%, 77.0%, and 79.7% using the traditional end point and 71.1%, 74.4%, 76.9%, 77.0%, and 78.4% with the composite end point. Additionally, with the five-tier system derived from the composite end point, programs in tier 3, tier 4, and tier 5 had significantly higher mean eGFRs at 5 years compared with programs in tier 1. There were no significant eGFR differences among tiers derived from the traditional end point alone.
CONCLUSIONS: This proof-of-concept study suggests that a composite end point incorporating allograft function may improve the post-transplant component of the five-tier system by better differentiating between transplant programs with respect to long-term graft outcomes.
Copyright © 2022 by the American Society of Nephrology.

Entities:  

Keywords:  kidney transplantation; outcomes; renal transplantation; survival; transplant outcomes

Mesh:

Year:  2022        PMID: 35537779      PMCID: PMC9342646          DOI: 10.1681/ASN.2022010078

Source DB:  PubMed          Journal:  J Am Soc Nephrol        ISSN: 1046-6673            Impact factor:   14.978


  22 in total

1.  Post-transplant renal function in the first year predicts long-term kidney transplant survival.

Authors:  Sundaram Hariharan; Maureen A McBride; Wida S Cherikh; Christine B Tolleris; Barbara A Bresnahan; Christopher P Johnson
Journal:  Kidney Int       Date:  2002-07       Impact factor: 10.612

2.  A calibration hierarchy for risk models was defined: from utopia to empirical data.

Authors:  Ben Van Calster; Daan Nieboer; Yvonne Vergouwe; Bavo De Cock; Michael J Pencina; Ewout W Steyerberg
Journal:  J Clin Epidemiol       Date:  2016-01-06       Impact factor: 6.437

3.  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

4.  Bayesian methods for assessing transplant program performance.

Authors:  N Salkowski; J J Snyder; D A Zaun; T Leighton; A K Israni; B L Kasiske
Journal:  Am J Transplant       Date:  2014-05-01       Impact factor: 8.086

5.  Understanding Trends in Kidney Function 1 Year after Kidney Transplant in the United States.

Authors:  Yihung Huang; Anca Tilea; Brenda Gillespie; Vahakn Shahinian; Tanushree Banerjee; Vanessa Grubbs; Neil Powe; Nilka Rios-Burrows; Meda Pavkov; Rajiv Saran
Journal:  J Am Soc Nephrol       Date:  2017-03-07       Impact factor: 10.121

6.  Expanding clarity or confusion? Volatility of the 5-tier ratings assessing quality of transplant centers in the United States.

Authors:  Jesse D Schold; Kenneth A Andreoni; Anil K Chandraker; Robert S Gaston; Jayme E Locke; Amit K Mathur; Timothy L Pruett; Abbas Rana; Lloyd E Ratner; Laura D Buccini
Journal:  Am J Transplant       Date:  2018-02-09       Impact factor: 8.086

7.  The relationship between kidney function and long-term graft survival after kidney transplant.

Authors:  Bertram L Kasiske; Ajay K Israni; Jon J Snyder; Melissa A Skeans
Journal:  Am J Kidney Dis       Date:  2011-01-22       Impact factor: 8.860

8.  Prognostic value for long-term graft survival of estimated glomerular filtration rate and proteinuria quantified at 3 months after kidney transplantation.

Authors:  Clément Mottola; Nicolas Girerd; Kevin Duarte; Alice Aarnink; Magali Giral; Jacques Dantal; Valérie Garrigue; Georges Mourad; Fanny Buron; Emmanuel Morelon; Marc Ladrière; Michèle Kessler; Luc Frimat; Sophie Girerd
Journal:  Clin Kidney J       Date:  2020-04-26

9.  Impact of the lung allocation score on survival beyond 1 year.

Authors:  B G Maxwell; J E Levitt; B A Goldstein; J J Mooney; M R Nicolls; M Zamora; V Valentine; D Weill; G S Dhillon
Journal:  Am J Transplant       Date:  2014-09-10       Impact factor: 8.086

10.  Association between health related quality of life and progression of chronic kidney disease.

Authors:  Tae Ryom Oh; Hong Sang Choi; Chang Seong Kim; Eun Hui Bae; Yun Kyu Oh; Yong-Soo Kim; Kyu Hun Choi; Soo Wan Kim; Seong Kwon Ma
Journal:  Sci Rep       Date:  2019-12-20       Impact factor: 4.379

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