Publication

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

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Last modified
  • 06/17/2025
Type of Material
Authors
    Robert M. Cannon, University of Alabama at BirminghamAriann Nassel, University of Alabama at BriminghamJeffery T. Walker, University of Alabama at BirminghamSaulat S. Sheikh, University of Alabama at BriminghamBabak J. Orandi, University of Alabama at BirminghamMalay B. Shah, University of KentuckyRaymond Lynch, Emory UniversityDavid S. Goldberg, University of MiamiJayme E. Locke, University of Alabama at Birmingham
Language
  • English
Date
  • 2022-05-09
Publisher
  • Wolters Kluwer Health, Inc.
Publication Version
Copyright Statement
  • Copyright © 2022 Wolters Kluwer Health, Inc. All rights reserved.
Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 106
Issue
  • 9
Start Page
  • 1799
End Page
  • 1806
Grant/Funding Information
  • 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.
Supplemental Material (URL)
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
Author Notes
  • Correspondence: Robert M. Cannon, MD, 701 19th Street South, LHRB 748, Birmingham, AL 35223, Phone: 205-996-4249, rmcannon@uabmc.edu
Keywords
Research Categories
  • Health Sciences, Epidemiology

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