High-risk liver transplant recipients with grade 3 acute on chronic liver failure should receive the good quality graft

Background & Aim We aimed to develop a risk score for LT recipients and donor selection among patients with ACLF-3. Methods and Results A total of 7166 adult LT recipients (mean age 53 years, 63% males, 56% Caucasians, 42% obese, median MELD score 36.5) using deceased donor grafts in the UNOS database (01/2002-06/2018) who were in ACLF-3 at LT as per EASL-CLIF criteria were analysed. Cox regression model on the derivation dataset (N = 3583) showed recipient age, non-alcohol aetiology, pulmonary failure, brain failure and cardiovascular failure to be associated with 1-year patient survival. Observed and expected post-transplant 1-year survival showed excellent correlation (R = .920). Risk score from cox model on derivation dataset stratified 3583 recipients in validation cohort using cut-off scores 7.55 and 11.57 to low (N = 1211), medium (N = 1168) and high risk (N = 1199), with 1-year patient survival of 89%, 82% and 80% respectively. Based on poor versus good quality graft (donor risk index cut-off at 1.50), 1-year patient survival for low, medium and high-risk categories were 90 versus 89% (p = .490), 83 versus 82% (p = .390) and 83 versus 78% (p = .038) respectively. Among recipients with a high-risk score, donor factors of age >= 60 years, grafts obtained from national sharing and macro-steatosis >15% were associated with 1-year patient survival below 66%. Conclusion Among ACLF-3 liver transplant recipients, those with high risk at the time of transplant receiving better quality graft will improve post-transplant outcomes. Prospective studies using additional characteristics are needed to derive an accurate risk score model in predicting post-transplant outcomes among recipients with ACLF-3.

Automated summary

This study aimed to develop a risk score for LT recipients and donor selection among patients with ACLF-3. By analyzing a large dataset of LT recipients, several factors associated with 1-year patient survival were identified and a risk score model was established. This model can help doctors make better choices during liver transplantation and improve patient outcomes.