Increased access to liver transplantation for patients with acute on chronic liver failure after implementation of Share 35 Rule: An analysis from the UNOS database

Ann Hepatol. 2021 Jul-Aug:23:100288. doi: 10.1016/j.aohep.2020.100288. Epub 2020 Nov 18.

Abstract

Introduction and objectives: Acute on chronic liver failure (ACLF), leads to high mortality. These patients are at risk of being delisted for liver transplantation (LT). Emerging data shows 1y post-transplant survival of 80-92%. The Share 35 (S35) policy was implemented to prioritize patients with MELD ≥35 on the LT waitlist. Our aim was to compare the LT outcomes of ACLF patients as a result of S35.

Materials and methods: Data from the UNOS scientific registry were used to classify ACLF patients using the NACSELD criteria. For the analyses, data were divided into two eras; 2 years before S35 (Era 1) and 2 years after S35 (Era 2). Waitlist status was classified into categories: Transplanted, Death or Too Sick to Transplant and Still Waiting/Other. LT cumulative incidence between the populations in the eras was calculated using Fine and Gray's method. A proportional hazards model was used to investigate the era effect on cumulative incidence of LT.

Results: 46,861 patients were reviewed, of which 817 had ACLF. 366 patients (mean MELD: 37.1) were identified in Era 1 and 451 patients (mean MELD: 37.3) in Era 2. We found that ACLF patients were more likely to receive a liver transplant in Era 2 (p=0.0074). In both eras, transplanted patients had a significantly higher survival than those who were not transplanted (p<0.0001).

Conclusions: Our study shows that S35 improved LT rate for ACLF suggesting that there should be broader recognition of ACLF and early transplantation should be pursued.

MeSH terms

  • Acute-On-Chronic Liver Failure / diagnosis
  • Acute-On-Chronic Liver Failure / mortality*
  • Acute-On-Chronic Liver Failure / surgery*
  • Adult
  • Aged
  • Female
  • Health Policy
  • Health Services Accessibility / statistics & numerical data*
  • Humans
  • Liver Transplantation / statistics & numerical data*
  • Male
  • Middle Aged
  • Patient Selection
  • Proportional Hazards Models
  • Registries
  • Severity of Illness Index
  • Survival Rate
  • Tissue and Organ Procurement / statistics & numerical data*
  • Waiting Lists
  • Young Adult