Ontology highlight
ABSTRACT: Background
The new deceased donor kidney allocation algorithm uses a Kidney Donor Profile Index (KDPI) based on donor characteristics to predict graft survival and divides kidneys into 4 quality groups (ie, KDPI-A, -B, -C, and -D). Pediatric kidneys constitute 10% to 12% of deceased donor kidneys. We hypothesized that KDPI would not accurately predict pediatric donor graft survival and superior predictive models could be created.Methods
Scientific Registry of Transplant Recipients data for years 2000 to 2010 for transplants from child (<10 years) and adolescent (10-17 years inclusive) donors into first-time adult recipients were analyzed with graft failure as the principle outcome. Two novel indices, Child Donor Index (CDI) and Adolescent Donor Index (ADI), were developed u
SUBMITTER: Parker WF
PROVIDER: S-EPMC4940335 | biostudies-literature | 2016 Nov
REPOSITORIES: biostudies-literature