Testa, Giuliano

Normothermic regional perfusion (NRP) adoption for donation after circulatory death (DCD) liver transplantation in the United States has been growing, but there remains a higher rate of non-utilization of NRP DCD liver grafts as compared with donation after brain death liver grafts. Six transplant centers and 1 organ procurement organization (OPO) with substantial NRP liver procurement experience performed retrospective reviews of all NRP procurement attempts from September 1, 2021, until March 1, 2024, identifying opportunities for utilization. Five of the 6 transplant centers had prospectively collected data on all accepted livers with NRP intent. The transplant center's intention to utilize DCD donors included 329 livers accepted for transplantation before withdrawal, 252 (76.6%) potential donors expired within the hospital timeframe for donation, and 168 (66.7%) livers were transplanted. Fifty-seven opportunities for utilization were identified by transplant centers, plus 11 from the OPO: most were due to exceeding a functional warm ischemic time limit (n=26), other reasons (n=17), and functional assessment (n=16). The lessons learned by centers in this study provide guidance for newer NRP centers and for OPOs in identifying opportunities for utilization of NRP DCD grafts that have historically been declined.

Early allograft failure (EAF) after living donor liver transplantation (LDLT) remains a clinical challenge. Existing prediction models developed for deceased donor transplantation poorly apply to LDLT due to distinct surgical and physiological factors. This study identifies clinical determinants of EAF and develops an LDLT-specific prediction model. We conducted a multicenter retrospective cohort study from 17 high-volume LDLT centers (January 2016–December 2020) with external validation at a tertiary center in Saudi Arabia (January 2015–December 2022). The primary outcome was EAF (graft loss or patient death ≤90 d). Multivariable mixed-effects logistic regression identified preoperative/intraoperative risk factors. The EAGLE-LDLT model was constructed using postoperative laboratory values. Performance was compared against established models (EAD, MEAF, A2ALL) using ROC analysis and decision curve analysis. The development cohort included 2944 adult LDLT recipients (67.7% male; median age 55 y; median MELD 14) with a 5.5% EAF rate. External validation included 1020 recipients (median MELD 21, 6.7% EAF). Independent risk factors for EAF were MELD (OR 1.06, 95% CI 1.04–1.08), donor BMI (OR 1.05, 95% CI 1.00–1.10), portal vein thrombosis (OR 1.73, 95% CI 1.13–2.63), and hepaticojejunostomy (OR 1.58, 95% CI 1.06–2.36). The EAGLE-LDLT model incorporating peak ALT (>468 U/L), peak INR (>1.9), and bilirubin (>3.5 mg/dL) and INR (>1.3) at POD7, demonstrated superior discrimination (AUC=0.81) compared with MEAF (AUC=0.77, p =0.004), EAD (AUC=0.67, p <0.001), and A2ALL (AUC=0.65, p <0.001). EAGLE-LDLT achieved balanced sensitivity (75.0%) and specificity (73.7%), effectively stratifying patients into high-risk (15% of patients; 40.4% EAF incidence) and low-risk groups. Preoperative and intraoperative clinical factors predict EAF in LDLT. The EAGLE-LDLT model accurately identifies LDLT recipients at the highest risk for EAF postoperatively.