Alcohol consumption has substantially increased during the COVID-19 pandemic1; however, the impact on the already increasing burden of alcohol-associated liver disease (ALD) is unknown.2 We examined national changes in waiting list registration and liver transplantation for ALD and the association with alcohol sales during the COVID-19 pandemic. We hypothesized that waiting list registrations and deceased donor liver transplants (DDLTs) for alcoholic hepatitis (AH), which can develop after a short period of alcohol misuse, would disproportionately rise.
This cross-sectional study was deemed exempt from review and informed consent by the University of Michigan institutional review board because the study involves deidentified, publicly available secondary data sets that cannot be tracked back to an individual. This study follows the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline for reporting cross-sectional studies.
Data were obtained from the United Network for Organ Sharing Standard Transplant Analysis and Research file for new waiting list registrations and primary DDLT for US adults (age ≥18 years) between January 1, 2016, and January 31, 2021, and categorized by primary listing diagnosis as AH, alcohol-related cirrhosis (AC), or non-ALD (any other diagnosis). For each diagnosis, we characterized short-term changes during COVID-19 (March 2020 to January 2021) by comparing proportions of waiting list registrations and DDLTs to the same time frame pre–COVID-19 (March 2019 to January 2020) using χ2 tests. To evaluate changes during COVID-19 compared with long-term trends, we compared observed monthly volumes of waiting list registrations and DDLTs from March 2020 to January 2021 with forecasted values based on pre–COVID-19 trends estimated from nonseasonal autoregressive integrated moving average models with first order differencing fit to monthly waiting list registrations and DDLTs for 4 years pre–COVID-19 (January 2016 to February 2020).3
National monthly retail alcohol sales from January 2016 to January 2021 for purchases from beer, wine, and liquor stores in US dollars were obtained from the US Census Bureau Monthly Retail Trade Report.4 The associations of alcohol sales, waiting list registrations, and DDLT were evaluated using Spearman rank-order correlation with a significance level of .05. Analyses were performed using Stata/SE version 16.0 (StataCorp). Data were analyzed from March to April 2021.
A total of 51 488 new waiting list registrations and 32 320 DDLTs from January 1, 2016, to January 31, 2021, were assessed. The median (IQR) age was 58.0 (50-64) years among pre–COVID-19 waiting list registrants and liver transplant recipients. The median (IQR) age was 58.0 (49-64) years for new waiting list registrants during COVID-19 and 58.0 (48-64) years for transplant recipients during COVID-19. Among new waiting list registrants, 15 247 (36.1%) were women and 26 930 (63.9%) were men during the pre–COVID-19 period, and 3477 (37.3%) were women and 5834 (62.7%) were men during COVID-19 (P = .03). From March 2020 to January 2021, during COVID-19, there was a significant increase in the proportions of waiting list registrations (227 of 9311 registrations [2.4%] vs 138 of 9638 registrations [1.4%]; P < .001) and DDLTs (185 of 6162 DDLTs [3.0%] vs 103 of 6263 DDLTs [1.6%]; P < .001) for AH compared with the same period pre–COVID-19 (ie, March 2019 to January 2020). Compared with long-term pre–COVID-19 trends, there was an overall reduction in waiting list registration and DDLT at the start of COVID-19, from March to May 2020 (Figure 1A and B).5 From June 2020 to January 2021, observed volumes of waiting list registrations and DDLTs for AH increased sharply, exceeding forecasted values by a mean of 59.5% in waiting list registrations and 62.0% in DDLTs and surpassing the 95% CI for 4 of 8 months. There was a temporal association and positive correlation between increasing waiting list registrations (Spearman ρ = 0.79; P < .001) and DDLT (Spearman ρ = 0.76; P < .001) for AH and increasing retail alcohol sales (Figure 1C). Observed waiting list registrations and DDLTs for AC and non-ALD remained within or below forecasted values (Figure 2).
This cross-sectional study found that waiting list registrations and DDLTs for AH increased significantly during COVID-19, exceeding the volumes forecasted by pre–COVID-19 trends by more than 50%, whereas trends for AC and non-ALD remained unchanged. While we cannot confirm causality, this disproportionate increase in association with increasing alcohol sales may indicate a relationship with known increases in alcohol misuse during COVID-19.1 Since less than 6% of patients with severe AH are listed for transplantation, increasing waiting list volume during COVID-19 represents a small fraction of the increase in AH, a preventable disease with 6-month mortality up to 70%.6
Our study is limited by its retrospective nature and changes in allocation policy and transplant center practices that may have independently affected waiting list registration and DDLT. Although allocation changes in February 2020 could have contributed to increasing DDLT for AH, the simultaneous increase in waiting list registration supports an underlying increase in AH. While increasing adoption of early DDLT for AH has increased waiting list registration and DDLT for AH in recent years,2,6 this would not explain the acute increase during COVID-19 disproportionate to pre–COVID-19 trends. This study provides evidence for an alarming increase in AH associated with increasing alcohol misuse during COVID-19 and highlights the need for public health interventions around excessive alcohol consumption.
Accepted for Publication: August 21, 2021.
Published: October 26, 2021. doi:10.1001/jamanetworkopen.2021.31132
Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Anderson MS et al. JAMA Network Open.
Corresponding Author: Jessica L. Mellinger, MD, MSc, Division of Gastroenterology and Hepatology, University of Michigan, 1500 E Medical Center Dr, 3912 Taubman Center, SPC 5362, Ann Arbor, MI 48109 (jmelling@med.umich.edu).
Author Contributions: Dr Mellinger had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
Concept and design: All authors.
Acquisition, analysis, or interpretation of data: Anderson, Valbuena, Brown, Waits, Mellinger.
Drafting of the manuscript: Anderson, Valbuena, Brown, Waits, Mellinger.
Critical revision of the manuscript for important intellectual content: All authors.
Statistical analysis: Anderson, Valbuena, Brown.
Administrative, technical, or material support: Valbuena, Sonnenday, Englesbe.
Supervision: Brown, Englesbe, Mellinger.
Conflict of Interest Disclosures: Dr Anderson reported receiving grants from the National Institute on Aging. Dr Valbuena reported receiving grants from the Institute for Healthcare Policy and Innovation Clinician Scholars Program and the National Institutes of Health. Dr Brown reported receiving grants from the Ruth L. Kirschstein Postdoctoral Research Fellowship Award administered by the National Institute on Drug Abuse. Dr Englesbe reported receiving grants from the Michigan Department of Health and Human Services and the National Institute on Drug Abuse and salary support from Blue Cross Blue Shield of Michigan. Dr Mellinger reported receiving grants from the National Institute on Alcohol Abuse and Alcoholism Career Development Award. No other disclosures were reported.
Funding/Support: This work was supported in part by contract No. HHSH250-2019-00001C from the Health Resources and Services Administration.
Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.
Disclaimer: The content is the responsibility of the authors alone and does not necessarily reflect the views or policies of the Department of Health and Human Services, nor does mention of trade names, commercial products, or organizations imply endorsement by the US Government.
3.Harvey
AC. Forecasting, Structural Time Series Models and the Kalman Filter. Cambridge University Press; 1989.
5.Strauss
AT, Boyarsky
BJ, Garonzik-Wang
JM,
et al. Liver transplantation in the United States during the COVID-19 pandemic: national and center-level responses.
Am J Transplant. 2021;21(5):1838-1847. doi:
10.1111/ajt.16373PubMedGoogle ScholarCrossref