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March 6, 2026Journal of Liver Transplantation0 citationsOpen Access

Living Donor Liver Transplant for Hepatocellular Carcinoma: Before and After the Median Model for End-Stage Liver Disease at Transplant Minus 3 Era

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RLRebecca LohRHRichard W. HassBLBojan Lazarević

Key Points

  • The study aims to assess how MELD policy changes impact living donor liver transplantation rates among hepatocellular carcinoma patients.
  • Analyzed UNOS data from three eras: Pre-MMaT era 1, Pre-MMaT era 2, and MMaT-3 era.
  • Evaluated trends in LDLT using interrupted time series and logistic regression.
  • Assessed time from listing to transplant with Cox proportional hazards models.
  • LDLT rates increased significantly post-MMaT-3 implementation.
  • DDLT rates declined during the same period.
  • Public insurance and residence in certain UNOS regions increased odds of LDLT.
  • Female sex and higher education levels predicted greater likelihood of LDLT.
  • LDLT recipients experienced shorter time to transplant compared to DDLT recipients.

Abstract

• MELD policy change was associated with more living donor liver transplants • Receipt of living donor transplant was 1.24 times faster than deceased donor • Gender, payor type and UNOS region affected odds of living donor transplant To promote equitable organ distribution between HCC and high MELD patients, the MELD exception policy has undergone several iterations. The 2019 Median MELD at Transplant (MMaT) minus 3 points system has made exceptions more stringent, leading to fewer HCC points and longer waitlist times for deceased donor liver transplantation (DDLT) recipients. The impact of these changes on living donor liver transplantation (LDLT) utilization remains unknown. Using United Network for Organ Sharing (UNOS) data, we identified adult HCC recipients of LDLT or DDLT across three eras: Pre-MMaT era 1 (2005-2015), Pre-MMaT era 2 (2015-2019), and the MMaT-3 era (2019-2021). Our primary outcome was changes in rates of LDLT for patients with HCC in the different MELD policy eras. Secondary outcomes included LDLT rates in the pre- and post-MMaT eras categorized by demographics. Interrupted time series, logistic regression, and Cox proportional hazards models evaluated transplantation trends, predictors of LDLT, and time from listing to transplant, respectively. Among 22,994 recipients, LDLT rates significantly increased after MMaT-3 implementation (p=0.013), while DDLT rates declined (p<0.001). Public insurance (OR = 1.54, 95% CI: 1.07, 2.22) and residence in UNOS regions 3 and 4 (OR= 4.63, 95% CI: 1.66, 14.37, p<0.001) were associated with increased odds of LDLT during the MMaT-3 era. Independent of era, female sex (OR = 1.717, 95% CI: 1.414, 2.078, p<0.001) and higher education (p<0.001) predicted LDLT. LDLT recipients had shorter time to transplant overall (HR = 1.37, 95% CI: 1.23,1.53), and the gap in time to transplant between LDLT and DDLT recipients widened post-MMaT, with DDLT recipients waiting longer. Evolving MELD exception policies may shift time to transplant and highlight the potential role of LDLT in mitigating waitlist mortality by providing increased access and shorter time to transplantation in HCC patients.

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Cite This Study

Loh et al. (2026) studied this question.

synapsesocial.com/papers/69aa6f3c531e4c4a9ff59404https://doi.org/10.1016/j.liver.2026.100339
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