Literature DB >> 33219592

Heterogeneous Circles for Liver Allocation.

Nicholas L Wood1, Amber B Kernodle2, Andrew J Hartley3, Dorry L Segev2,4, Sommer E Gentry1.   

Abstract

BACKGROUND AND AIMS: In February 2020, the Organ Procurement and Transplantation Network replaced donor service area-based allocation of livers with acuity circles, a system based on three homogeneous circles around each donor hospital. This system has been criticized for neglecting to consider varying population density and proximity to coast and national borders. APPROACH AND
RESULTS: Using Scientific Registry of Transplant Recipients data from July 2013 to June 2017, we designed heterogeneous circles to reduce both circle size and variation in liver supply/demand ratios across transplant centers. We weighted liver demand by Model for End-Stage Liver Disease (MELD)/Pediatric End-Stage Liver Disease (PELD) because higher MELD/PELD candidates are more likely to be transplanted. Transplant centers in the West had the largest circles; transplant centers in the Midwest and South had the smallest circles. Supply/demand ratios ranged from 0.471 to 0.655 livers per MELD-weighted incident candidate. Our heterogeneous circles had lower variation in supply/demand ratios than homogeneous circles of any radius between 150 and 1,000 nautical miles (nm). Homogeneous circles of 500 nm, the largest circle used in the acuity circles allocation system, had a variance in supply/demand ratios 16 times higher than our heterogeneous circles (0.0156 vs. 0.0009) and a range of supply/demand ratios 2.3 times higher than our heterogeneous circles (0.421 vs. 0.184). Our heterogeneous circles had a median (interquartile range) radius of only 326 (275-470) nm but reduced disparities in supply/demand ratios significantly by accounting for population density, national borders, and geographic variation of supply and demand.
CONCLUSIONS: Large homogeneous circles create logistical burdens on transplant centers that do not need them, whereas small homogeneous circles increase geographic disparity. Using carefully designed heterogeneous circles can reduce geographic disparity in liver supply/demand ratios compared with homogeneous circles of radius ranging from 150 to 1,000 nm.
© 2020 by the American Association for the Study of Liver Diseases.

Entities:  

Mesh:

Year:  2021        PMID: 33219592      PMCID: PMC8348643          DOI: 10.1002/hep.31648

Source DB:  PubMed          Journal:  Hepatology        ISSN: 0270-9139            Impact factor:   17.298


  9 in total

1.  Role of Patient Factors and Practice Patterns in Determining Access to Liver Waitlist.

Authors:  J T Adler; N Dong; J F Markmann; D Schoenfeld; H Yeh
Journal:  Am J Transplant       Date:  2015-04-30       Impact factor: 8.086

2.  Geographic disparities in liver supply/demand ratio within fixed-distance and fixed-population circles.

Authors:  Christine E Haugen; Tanveen Ishaque; Abel Sapirstein; Alexander Cauneac; Dorry L Segev; Sommer Gentry
Journal:  Am J Transplant       Date:  2019-03-18       Impact factor: 8.086

3.  Geographic inequities in liver allograft supply and demand: does it affect patient outcomes?

Authors:  Abbas Rana; Bruce Kaplan; Irbaz B Riaz; Marian Porubsky; Shahid Habib; Horacio Rilo; Angelika C Gruessner; Rainer W G Gruessner
Journal:  Transplantation       Date:  2015-03       Impact factor: 4.939

4.  Improving Liver Allocation Using Optimized Neighborhoods.

Authors:  Vikram Kilambi; Sanjay Mehrotra
Journal:  Transplantation       Date:  2017-02       Impact factor: 4.939

5.  Increasing the Number of Organ Transplants in the United States by Optimizing Donor Authorization Rates.

Authors:  D S Goldberg; B French; P L Abt; R K Gilroy
Journal:  Am J Transplant       Date:  2015-05-28       Impact factor: 8.086

6.  Intraregional model for end-stage liver disease score variation in liver transplantation: Disparity in our own backyard.

Authors:  Kristopher P Croome; David D Lee; Justin M Burns; Andrew P Keaveny; C Burcin Taner
Journal:  Liver Transpl       Date:  2018-04       Impact factor: 5.799

7.  Population-Based Analysis and Projections of Liver Supply Under Redistricting.

Authors:  Neehar D Parikh; Wesley J Marrero; Christopher J Sonnenday; Anna S Lok; David W Hutton; Mariel S Lavieri
Journal:  Transplantation       Date:  2017-09       Impact factor: 4.939

8.  Addressing geographic disparities in liver transplantation through redistricting.

Authors:  S E Gentry; A B Massie; S W Cheek; K L Lentine; E H Chow; C E Wickliffe; N Dzebashvili; P R Salvalaggio; M A Schnitzler; D A Axelrod; D L Segev
Journal:  Am J Transplant       Date:  2013-07-09       Impact factor: 8.086

9.  Impact of broader sharing on the transport time for deceased donor livers.

Authors:  Sommer E Gentry; Eric K H Chow; Corey E Wickliffe; Allan B Massie; Tabitha Leighton; Dorry L Segev
Journal:  Liver Transpl       Date:  2014-10       Impact factor: 5.799

  9 in total

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