Journal
AMERICAN JOURNAL OF TRANSPLANTATION
Volume 9, Issue 7, Pages 1523-1527Publisher
WILEY
DOI: 10.1111/j.1600-6143.2009.02708.x
Keywords
Allocation; C-statistic; ESRD; goodness-of-fit; graft survival; kidney; transplant benefit; transplantation; patient survival
Categories
Funding
- Health Resources and Services Administration (HRSA) [234-2005-37009C]
- US Department of Health and Human Services
Ask authors/readers for more resources
'Life years from transplant' (LYFT) is the extra years of life that a candidate can expect to achieve with a kidney transplant as compared to never receiving a kidney transplant at all. The LYFT component survival models (patient lifetimes with and without transplant, and graft lifetime) are comparable to or better predictors of long-term survival than are other predictive equations currently in use for organ allocation. Furthermore, these models are progressively more successful at predicting which of two patients will live longer as their medical characteristics (and thus predicted lifetimes) diverge. The C-statistics and the correlations for the three LYFT component equations have been validated using independent, nonoverlapping split-half random samples. Allocation policies based on these survival models could lead to substantial increases in the number of life years gained from the current donor pool.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available