| Literature DB >> 29232040 |
Sheng Zhou1, Allan B Massie1,2, Xun Luo1, Jessica M Ruck1, Eric K H Chow1, Mary G Bowring1, Sunjae Bae1,2, Dorry L Segev1,2, Sommer E Gentry1,3.
Abstract
The Kidney Allocation System fundamentally altered kidney allocation, causing a substantial increase in regional and national sharing that we hypothesized might impact geographic disparities. We measured geographic disparity in deceased donor kidney transplant (DDKT) rate under KAS (6/1/2015-12/1/2016), and compared that with pre-KAS (6/1/2013-12/3/2014). We modeled DSA-level DDKT rates with multilevel Poisson regression, adjusting for allocation factors under KAS. Using the model we calculated a novel, improved metric of geographic disparity: the median incidence rate ratio (MIRR) of transplant rate, a measure of DSA-level variation that accounts for patient casemix and is robust to outlier values. Under KAS, MIRR was 1.75 1.811.86 for adults, meaning that similar candidates across different DSAs have a median 1.81-fold difference in DDKT rate. The impact of geography was greater than the impact of factors emphasized by KAS: having an EPTS score ≤20% was associated with a 1.40-fold increase (IRR = 1.35 1.401.45 , P < .01) and a three-year dialysis vintage was associated with a 1.57-fold increase (IRR = 1.56 1.571.59 , P < .001) in transplant rate. For pediatric candidates, MIRR was even more pronounced, at 1.66 1.922.27 . There was no change in geographic disparities with KAS (P = .3). Despite extensive changes to kidney allocation under KAS, geography remains a primary determinant of access to DDKT.Entities:
Keywords: Organ Procurement and Transplantation Network (OPTN); Scientific Registry for Transplant Recipients (SRTR); United Network for Organ Sharing (UNOS); kidney transplantation/nephrology; organ allocation; organ procurement and allocation; organ procurement organization; translational research/science
Mesh:
Year: 2018 PMID: 29232040 PMCID: PMC5992006 DOI: 10.1111/ajt.14622
Source DB: PubMed Journal: Am J Transplant ISSN: 1600-6135 Impact factor: 8.086