Literature DB >> 31787824

Time-Effect of Donor and Recipient Characteristics on Graft Survival after Kidney Transplantation.

Jingyan Yang1, Christine L Sardo Molmenti2, Joaquin Cagliani3, Harish Datta2, Elliot Grodstein3, Rehana Rasul2, Horacio Rilo3, Lewis W Teperman3, Ernesto P Molmenti3.   

Abstract

The kidney allocation system (KAS) is based on quality-based "longevity matching" strategies that provide only a momentary snapshot of expected outcomes at the time of transplantation. The purpose of our study was to define on a continuous timeline the relative and mutual interactions of donor and recipient characteristics on graft survival. Total 39,108 subjects who underwent kidney transplant between October 25, 1999 and January 1, 2007 were identified in the United Network for Organ Sharing dataset. Our primary outcome was graft survival. Time-dependent receiver operating characteristic (ROC) curves and area under time-dependent ROC curve (AUC) were used to compare the predictive ability of the two allocation systems. During the first year after transplantation, both donor and recipient models showed identical relevance. From the first to the sixth years, although the two ROC curves were nearly identical, the donor model outweighed the recipient model. Both models intersected again at the sixth year. From that time onward, the ROC curve for recipient characteristics model predominated over the ROC curve for donor characteristics model. The predictive value of the recipient model (AUC = 0.752) was greater than that of the donor model (AUC = 0.673) We hope that this model will provide additional guidance and risk stratification to further optimize organ allocation based on the dynamic interaction of both donor and recipient characteristics over time. © Thieme Medical Publishers.

Entities:  

Keywords:  KAS; UNOS; graft survival; kidney transplantation; organ procurement; recipient characteristics; renal transplantation

Year:  2019        PMID: 31787824      PMCID: PMC6882667          DOI: 10.1055/s-0039-1700500

Source DB:  PubMed          Journal:  Int J Angiol        ISSN: 1061-1711


  13 in total

1.  Deceased-donor characteristics and the survival benefit of kidney transplantation.

Authors:  Robert M Merion; Valarie B Ashby; Robert A Wolfe; Dale A Distant; Tempie E Hulbert-Shearon; Robert A Metzger; Akinlolu O Ojo; Friedrich K Port
Journal:  JAMA       Date:  2005-12-07       Impact factor: 56.272

2.  External validation of the estimated posttransplant survival score for allocation of deceased donor kidneys in the United States.

Authors:  P A Clayton; S P McDonald; J J Snyder; N Salkowski; S J Chadban
Journal:  Am J Transplant       Date:  2014-06-05       Impact factor: 8.086

3.  OPTN/SRTR 2015 Annual Data Report: Kidney.

Authors:  A Hart; J M Smith; M A Skeans; S K Gustafson; D E Stewart; W S Cherikh; J L Wainright; A Kucheryavaya; M Woodbury; J J Snyder; B L Kasiske; A K Israni
Journal:  Am J Transplant       Date:  2017-01       Impact factor: 8.086

4.  Improved graft survival after renal transplantation in the United States, 1988 to 1996.

Authors:  S Hariharan; C P Johnson; B A Bresnahan; S E Taranto; M J McIntosh; D Stablein
Journal:  N Engl J Med       Date:  2000-03-02       Impact factor: 91.245

Review 5.  Potential Impact of Risk and Loss Aversion on the Process of Accepting Kidneys for Transplantation.

Authors:  Raymond L Heilman; Ellen P Green; Kunam S Reddy; Adyr Moss; Bruce Kaplan
Journal:  Transplantation       Date:  2017-07       Impact factor: 4.939

6.  Relationship between the prognostic expectations of seriously ill patients undergoing hemodialysis and their nephrologists.

Authors:  Melissa W Wachterman; Edward R Marcantonio; Roger B Davis; Robert A Cohen; Sushrut S Waikar; Russell S Phillips; Ellen P McCarthy
Journal:  JAMA Intern Med       Date:  2013-07-08       Impact factor: 21.873

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

8.  Early Changes in Kidney Distribution under the New Allocation System.

Authors:  Allan B Massie; Xun Luo; Bonnie E Lonze; Niraj M Desai; Adam W Bingaman; Matthew Cooper; Dorry L Segev
Journal:  J Am Soc Nephrol       Date:  2015-12-17       Impact factor: 10.121

9.  Does the Kidney Donor Profile Index (KDPI) predict graft and patient survival in a Spanish population?

Authors:  Jorge Calvillo-Arbizu; Miguel A Pérez-Valdivia; Miguel A Gentil-Govantes; Pablo Castro-de-la-Nuez; Auxiliadora Mazuecos-Blanca; Alberto Rodríguez-Benot; María C Gracia-Guindo; Francisco Borrego-Utiel; Mercedes Cabello-Díaz; Rafael Bedoya-Pérez; Manuel Alonso-Gil; Mercedes Salgueira-Lazo; Laura M Roa-Romero
Journal:  Nefrologia (Engl Ed)       Date:  2018-09-20

Review 10.  Do elderly recipients really benefit from kidney transplantation?

Authors:  Rachel Hellemans; Vianda S Stel; Kitty J Jager; Jean-Louis Bosmans; Daniel Abramowicz
Journal:  Transplant Rev (Orlando)       Date:  2015-09-18       Impact factor: 3.943

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  1 in total

Review 1.  Using Information Available at the Time of Donor Offer to Predict Kidney Transplant Survival Outcomes: A Systematic Review of Prediction Models.

Authors:  Stephanie Riley; Qing Zhang; Wai-Yee Tse; Andrew Connor; Yinghui Wei
Journal:  Transpl Int       Date:  2022-06-23       Impact factor: 3.842

  1 in total

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