ustransplant Home | Contact us | Site Map
About the SRTRExpand About the SRTR
|
National Transplant StatisticsExpand National Transplant Statistics
|
Program and OPO DataExpand Program and OPO Data
|
Research ResourcesExpand Research Resources
Publication Details

CITATION:
Wolfe RA, McCullough KP, Leichtman AB. Predictability of Survival Models for Waiting list and Transplant Patients: Calculating LYFT. Am J Transplant 2009; 9(7): 1523-1527

Click for the article in PubMed Go to PubMed links
ABSTRACT:
'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.

Information for Patients and Families Information for Transplant Community and Policy Makers Information for Researchers
Spacer Choose an audience
Transplant Program and OPO Specific Data
Fast Facts give an overview of recent waiting list and transplant activity


Contact the SRTR

315 W. Huron St.
Suite 360
Ann Arbor, MI 48103 USA
Tel: +1 (800) 830-9664
Fax: +1 (734) 665-2103
Email Us

The SRTR is administered by the Arbor Research Collaborative for Health with the University of Michigan,
with oversight and funding from the Health Resources and Services Administration.

About the SRTR | National Transplant Statistics | Program and OPO Data | Research Resources | Privacy Statement 		Spacer
Spacer