Literature DB >> 29935051

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

Sunjae Bae1,2,3, Allan B Massie1,2, Alvin G Thomas1, Gahyun Bahn2, Xun Luo1, Kyle R Jackson1, Shane E Ottmann1, Daniel C Brennan4, Niraj M Desai1, Josef Coresh2,3,4, Dorry L Segev1,2, Jacqueline M Garonzik Wang1.   

Abstract

The impact of donor quality on post-kidney transplant (KT) survival may vary by candidate condition. Characterizing this variation would increase access to KT without sacrificing outcomes. We developed a tool to estimate post-KT survival for combinations of donor quality and candidate condition. We studied deceased donor KT recipients (n = 120 818) and waitlisted candidates (n = 376 272) between 2005 and 2016 by using the Scientific Registry of Transplant Recipients. Donor quality and candidate condition were measured by using the Kidney Donor Profile Index (KDPI) and the Estimated Post Transplant Survival (EPTS) score. We estimated 5-year post-KT survival based on combinations of KDPI and EPTS score using random forest algorithms and waitlist survival by EPTS score using Weibull regressions. Survival benefit was defined as absolute reduction in mortality risk with KT. For candidates with an EPTS score of 80, 5-year waitlist survival was 47.6%, and 5-year post-KT survival was 78.9% after receiving kidneys with a KDPI of 20 and was 70.7% after receiving kidneys with a KDPI of 80. The impact of KDPI on survival benefit varied greatly by EPTS score. For candidates with low EPTS scores (eg, <40), the KDPI had limited impact on survival benefit. For candidates with middle or high EPTS scores (eg, >40), survival benefit decreased with higher KDPI but was still substantial even with a KDPI of 100 (>16 percentage points). Our prediction tool (www.transplantmodels.com/kdpi-epts) can support individualized decision-making on kidney offers in clinical practice.
© 2018 The American Society of Transplantation and the American Society of Transplant Surgeons.

Entities:  

Keywords:  clinical decision-making; clinical research/practice; epidemiology; kidney transplantation/nephrology; organ acceptance; registry/registry analysis

Mesh:

Year:  2018        PMID: 29935051      PMCID: PMC6309666          DOI: 10.1111/ajt.14978

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


  23 in total

1.  When do we need competing risks methods for survival analysis in nephrology?

Authors:  Marlies Noordzij; Karen Leffondré; Karlijn J van Stralen; Carmine Zoccali; Friedo W Dekker; Kitty J Jager
Journal:  Nephrol Dial Transplant       Date:  2013-08-24       Impact factor: 5.992

Review 2.  Big data in organ transplantation: registries and administrative claims.

Authors:  A B Massie; L M Kucirka; L M Kuricka; D L Segev
Journal:  Am J Transplant       Date:  2014-08       Impact factor: 8.086

Review 3.  Increasing the Use of Kidneys From Unconventional and High-Risk Deceased Donors.

Authors:  R L Heilman; A Mathur; M L Smith; B Kaplan; K S Reddy
Journal:  Am J Transplant       Date:  2016-06-14       Impact factor: 8.086

4.  Identifying subgroups of enhanced predictive accuracy from longitudinal biomarker data using tree-based approaches: applications to fetal growth.

Authors:  Jared C Foster; Danping Liu; Paul S Albert; Aiyi Liu
Journal:  J R Stat Soc Ser A Stat Soc       Date:  2016-02-05       Impact factor: 2.483

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.  Accept or Decline? An Analytics-Based Decision Tool for Kidney Offer Evaluation.

Authors:  Dimitris Bertsimas; Jerry Kung; Nikolaos Trichakis; David Wojciechowski; Parsia A Vagefi
Journal:  Transplantation       Date:  2017-12       Impact factor: 4.939

7.  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

8.  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

9.  Competing risk regression models for epidemiologic data.

Authors:  Bryan Lau; Stephen R Cole; Stephen J Gange
Journal:  Am J Epidemiol       Date:  2009-06-03       Impact factor: 4.897

Review 10.  Effect of risk status on treatment criteria. Implications of hypertension trials.

Authors:  W S Browner; S B Hulley
Journal:  Hypertension       Date:  1989-05       Impact factor: 10.190

View more
  22 in total

1.  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

2.  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

3.  Development of predictive score for post-transplant survival based on pre-transplant recipient characteristics.

Authors:  Tai Yeon Koo; Joongyub Lee; Jaeseok Yang
Journal:  Korean J Transplant       Date:  2021-06-30

Review 4.  Clinical Pig Kidney Xenotransplantation: How Close Are We?

Authors:  David K C Cooper; Hidetaka Hara; Hayato Iwase; Takayuki Yamamoto; Abhijit Jagdale; Vineeta Kumar; Roslyn Bernstein Mannon; Michael J Hanaway; Douglas J Anderson; Devin E Eckhoff
Journal:  J Am Soc Nephrol       Date:  2019-12-02       Impact factor: 10.121

5.  Donor Age, Donor-Recipient Size Mismatch, and Kidney Graft Survival.

Authors:  Fanny Lepeytre; Catherine Delmas-Frenette; Xun Zhang; Stéphanie Larivière-Beaudoin; Ruth Sapir-Pichhadze; Bethany J Foster; Héloïse Cardinal
Journal:  Clin J Am Soc Nephrol       Date:  2020-08-25       Impact factor: 8.237

6.  Mortality and Access to Kidney Transplantation in Patients with Sickle Cell Disease-Associated Kidney Failure.

Authors:  Sunjae Bae; Morgan Johnson; Allan B Massie; Xun Luo; Carlton Haywood; Sophie M Lanzkron; Morgan E Grams; Dorry L Segev; Tanjala S Purnell
Journal:  Clin J Am Soc Nephrol       Date:  2021-02-25       Impact factor: 8.237

7.  Assessment of the Utility of Kidney Histology as a Basis for Discarding Organs in the United States: A Comparison of International Transplant Practices and Outcomes.

Authors:  Peter P Reese; Olivier Aubert; Maarten Naesens; Edmund Huang; Vishnu Potluri; Dirk Kuypers; Antoine Bouquegneau; Gillian Divard; Marc Raynaud; Yassine Bouatou; Ashley Vo; Denis Glotz; Christophe Legendre; Carmen Lefaucheur; Stanley Jordan; Jean-Philippe Empana; Xavier Jouven; Alexandre Loupy
Journal:  J Am Soc Nephrol       Date:  2020-12-15       Impact factor: 10.121

8.  In Search of a Better Outcome: Opting Into the Live Donor Paired Kidney Exchange Program.

Authors:  Amanda J Vinson; Bryce A Kiberd; Karthik K Tennankore
Journal:  Can J Kidney Health Dis       Date:  2021-05-26

Review 9.  Expanded criteria donors in deceased donor kidney transplantation - An Asian perspective.

Authors:  Ziting Wang; Pradeep Durai; Ho Yee Tiong
Journal:  Indian J Urol       Date:  2020-04-07

10.  Recent Advances and Clinical Outcomes of Kidney Transplantation.

Authors:  Charat Thongprayoon; Panupong Hansrivijit; Napat Leeaphorn; Prakrati Acharya; Aldo Torres-Ortiz; Wisit Kaewput; Karthik Kovvuru; Swetha R Kanduri; Tarun Bathini; Wisit Cheungpasitporn
Journal:  J Clin Med       Date:  2020-04-22       Impact factor: 4.964

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.