Literature DB >> 18336702

Calculating life years from transplant (LYFT): methods for kidney and kidney-pancreas candidates.

R A Wolfe1, K P McCullough, D E Schaubel, J D Kalbfleisch, S Murray, M D Stegall, A B Leichtman.   

Abstract

The Organ Procurement and Transplantation Network (OPTN) Kidney Committee is considering a proposal for a new deceased donor kidney allocation system. Among the components under consideration is a strategy to rank candidates in part by the estimated incremental years of life that are expected to be achieved with a transplant from a specific available deceased donor, computed as the difference in expected median lifespan with that transplant compared with remaining on dialysis. This concept has been termed life years from transplant or LYFT. Median lifespans could be calculated, based on objective medical criteria, for each candidate when a deceased donor kidney becomes available, based on Cox regression models using current candidate and donor medical information. The distribution of the calculated LYFT scores for an average nonexpanded criteria donor kidney is similar across candidate sex, race/ethnicity, insurance status and, with the exception of diabetes, diagnosis. LYFT scores tend to be higher for younger candidates and lower for diabetics receiving a kidney-alone rather than a simultaneous kidney-pancreas transplant. Prioritizing candidates with higher LYFT scores for each available kidney could substantially increase total years of life among both transplant candidates and recipients. LYFT is also a powerful metric for assessing trends in allocation outcomes and for comparing alternative allocation systems.

Entities:  

Mesh:

Year:  2008        PMID: 18336702     DOI: 10.1111/j.1600-6143.2008.02177.x

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


  56 in total

Review 1.  How should we use age to ration health care? Lessons from the case of kidney transplantation.

Authors:  Peter P Reese; Arthur L Caplan; Roy D Bloom; Peter L Abt; Jason H Karlawish
Journal:  J Am Geriatr Soc       Date:  2010-09-09       Impact factor: 5.562

2.  Enhancing the expanded criteria donor policy as an intervention to improve kidney allocation: is it actually a 'net-zero' model?

Authors:  J D Schold; Y N Hall
Journal:  Am J Transplant       Date:  2010-12       Impact factor: 8.086

3.  Marked variation of the association of ESRD duration before and after wait listing on kidney transplant outcomes.

Authors:  J D Schold; A R Sehgal; T R Srinivas; E D Poggio; S D Navaneethan; B Kaplan
Journal:  Am J Transplant       Date:  2010-07-20       Impact factor: 8.086

Review 4.  New Solutions to Reduce Discard of Kidneys Donated for Transplantation.

Authors:  Peter P Reese; Meera N Harhay; Peter L Abt; Matthew H Levine; Scott D Halpern
Journal:  J Am Soc Nephrol       Date:  2015-09-14       Impact factor: 10.121

5.  Predictive Score for Posttransplantation Outcomes.

Authors:  Miklos Z Molnar; Danh V Nguyen; Yanjun Chen; Vanessa Ravel; Elani Streja; Mahesh Krishnan; Csaba P Kovesdy; Rajnish Mehrotra; Kamyar Kalantar-Zadeh
Journal:  Transplantation       Date:  2017-06       Impact factor: 4.939

6.  Can we direct organ allocation based on predicted outcome? Hepatocellular carcinoma outside of UCSF criteria or retransplant?

Authors:  Caroline Rochon; Patricia Sheiner; Basant Mahadevappa; Ganesh Gunasekaran; Joyti Sharma; David C Wolf; Marcelo Facciuto
Journal:  Langenbecks Arch Surg       Date:  2012-01-28       Impact factor: 3.445

7.  Transplantation: neural networks for predicting graft survival.

Authors:  Bruce Kaplan; Jesse Schold
Journal:  Nat Rev Nephrol       Date:  2009-04       Impact factor: 28.314

Review 8.  Kidney transplantation in the elderly.

Authors:  Edmund Huang; Dorry L Segev; Hamid Rabb
Journal:  Semin Nephrol       Date:  2009-11       Impact factor: 5.299

9.  Impact of insurance type on eligibility for advanced heart failure therapies and survival.

Authors:  Sarah Streeter Hutcheson; Victoria Phillips; Rachel Patzer; Andrew Smith; J David Vega; Alanna A Morris
Journal:  Clin Transplant       Date:  2018-07-11       Impact factor: 2.863

10.  Pretransplant Midodrine Use: A Newly Identified Risk Marker for Complications After Kidney Transplantation.

Authors:  Tarek Alhamad; Daniel C Brennan; Zaid Brifkani; Huiling Xiao; Mark A Schnitzler; Vikas R Dharnidharka; David Axelrod; Dorry L Segev; Krista L Lentine
Journal:  Transplantation       Date:  2016-05       Impact factor: 4.939

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.