Neighborhood-level Social Determinants of Health and Waitlist Mortality for Liver Transplantation: The Liver Outcomes and Equity Index

Author:

Zhou Kali12,Lit Aaron1,Kuo Leane S.3,Thompson Laura K.4,Dodge Jennifer L.124,Mehta Neil5,Terrault Norah A.12,Ha Nghiem B.5,Cockburn Myles G.4

Affiliation:

1. Department of Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA.

2. Research Center for Liver Diseases, Keck School of Medicine, University of Southern California, Los Angeles, CA.

3. Wayne State University School of Medicine, Detroit, MI.

4. Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA.

5. Department of Gastroenterology and Hepatology, University of California, San Francisco, San Francisco, CA.

Abstract

Background and Aims. To examine neighborhood-level disparities in waitlist mortality for adult liver transplantation (LT), we developed novel area-based social determinants of health (SDOH) index using a national transplant database. Methods. ZIP Codes of individuals listed for or received LT in the Scientific Registry of Transplant Recipients database between June 18, 2013, and May 18, 2019, were linked to 36 American Community Survey (ACS) variables across 5 SDOH domains for index development. A step-wise principal component analysis was used to construct the Liver Outcomes and Equity (LOEq) index. We then examined the association between LOEq quintiles (Q1 = worst and Q5 = best neighborhood SDOH) and waitlist mortality with competing risk regression among listed adults in the study period and acuity circle (AC) era. Results. The final LOEq index consisted of 13 ACS variables. Of 59 298 adults waitlisted for LT, 30% resided in LOEq Q5 compared with only 14% in Q1. Q1 neighborhoods with worse SDOH were disproportionately concentrated in transplant regions with low median Model for End-Stage Liver Disease at transplant (MMAT) and shorter wait times. Five years cumulative incidence of waitlist mortality was 33% in Q1 in high MMAT regions versus 16% in Q5 in low MMAT regions. Despite this allocation advantage, LOEq Q1–Q4 were independently associated with elevated risk of waitlist mortality compared with Q5, with highest increased hazard of waitlist deaths of 19% (95% CI, 11%-26%) in Q1. This disparity persisted in the AC era, with 24% (95% CI, 10%-40%) increased hazard of waitlist deaths for Q1 versus Q5. Conclusions. Neighborhood SDOH independently predicts waitlist mortality in adult LT.

Funder

USC Center for Liver Diseases

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Transplantation

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