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Author Notes:

Correspondence: Robert M. Cannon, MD, 701 19th Street South, LHRB 748, Birmingham, AL 35223, Phone: 205-996-4249, rmcannon@uabmc.edu

Author contributions: Study Concept and Design: Cannon, Nassel, Walker, Sheikh, Orandi, Shah, Lynch, Goldberg, Locke Acquisition and Analysis of Data: Cannon, Nassel, Locke Drafting of the Manuscript: Cannon, Nassel, Walker, Sheikh, Orandi, Shah, Lynch, Goldberg, Locke Critical Revision for Intellectual Content: Cannon, Nassel, Walker, Sheikh, Orandi, Shah, Lynch, Goldberg, Locke

Acknowledgements: The data reported here have been supplied by the Hennepin Healthcare Research Institute (HHRI) as the contractor for the Scientific Registry of Transplant Recipients (SRTR). The interpretation and reporting of these data are the responsibility of the author(s) and in no way should be seen as an official policy of or interpretation by the SRTR or the U.S. Government.

Conflicts of Interests: The authors have no conflicts of interest to declare.

Subject:

Research Funding:

Dr. Cannon is supported by the National Institute of Diabetes and Digestive and Kidney Diseases of the National Institutes of Health under award number K08DK125769. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. Dr. Orandi is supported by the National Center for Advancing Translational Sciences Grant/award number: 1KL2TR003097) and the Career Development Award for Clinical/Outcomes/Education Research from the Society for Surgery of the Alimentary Tract.

Keywords:

  • transplantation
  • lung transplantation
  • waitlist time

County Level Differences in Liver-Related Mortality, Waitlisting, and Liver Transplantation in the United States

Tools:

Journal Title:

Transplantation

Volume:

Volume 106, Number 9

Publisher:

, Pages 1799-1806

Type of Work:

Article | Post-print: After Peer Review

Abstract:

Background: Much of our understanding regarding geographic issues in transplantation is based upon statistical techniques that do not formally account for geography, and is based upon obsolete boundaries such as donation service area. Methods: We applied spatial epidemiologic techniques to examine liver-related mortality and access to liver transplant services at the county level using data from the CDC and SRTR from 2010 through 2018. Results: There was significant negative spatial correlation between transplant rates and liver-related mortality at the county level (Moran’s I −0.319; p=0.001). Significant clusters were identified with high transplant rates and low liver-related mortality. Counties in geographic clusters with high ratios of liver transplants to liver related deaths had more liver transplant centers within 150 nautical miles (6.7 centers vs. 3.6 centers; p<0.001) compared to all other counties, as did counties in geographic clusters with high ratios of waitlist additions to liver-related deaths (8.5 centers vs. 2.5 centers; p<0.001). The spatial correlation between waitlist mortality and overall liver-related mortality was positive (Moran’s I 0.060; p=0.001) but weaker. Several areas with high waitlist mortality had some of the lowest overall liver-related mortality in the country. Conclusions: These data suggest that high waitlist mortality and allocation MELD don’t necessarily correlate with decreased access to transplant, while local transplant center density is associated with better access to waitlisting and transplant

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