Abstract

Since its inception in 2002, Model for End-Stage Liver Disease (MELD)-based allocation has undergone a series of revisions, especially with respect to exception points. Hepatocellular carcinoma (HCC) is the most common indication for MELD exceptions, and as a result of higher transplant proportions and lower waitlist mortality, a series of policy changes have been implemented to deprioritize HCC transplants. We examined the impact of HCC exception policy changes on transplant and waitlist mortality rates. We evaluated Organ Procurement and Transplantation Network/United Network for Organ Sharing data on adult patients from January 1, 2005, to June 4, 2021, focusing on waitlist mortality and deceased donor liver transplantation (DDLT) proportions. The data were divided into four policy eras: (1) MELD 22 points at waitlisting with an increase in points every 3 months (i.e., elevator) (January 2005-October 2015), (2) delay and cap at MELD 34 points (October 2015-May 2019), (3) delay and fixed exceptions based on donor service area (DSA) median MELD at transplantation minus three (MMaT-3; May 2019-February 2020), and (4) delay and fixed exceptions based on the MMaT-3 of centers within 250 nautical miles (i.e., acuity circles; February 2020-June 2021). We evaluated (a) changes in the proportions of DDLTs for patients with HCC exceptions within each era nationally and by DSA and (b) waitlist mortality in the three recent policy eras, focusing on mortality in the 6 months after the 6-month delay period. The percentage of adult DDLT with HCC exceptions decreased through the four eras: 22.9% (n=14,049), 17.9% (n=4598), 14.3% (n=851), and 12.4% (n=1425), respectively. Of the 51 DSAs analyzed, the annual percent change in DDLTs for patients with HCC exceptions was negative (i.e., decreased) in 47 (92.2%). Waitlist mortality remained stable. All HCC policy implementations led to a decrease in the percentage of transplants for HCC without an increase in waitlist mortality. The impact is not uniform across geographic areas.

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