In living-donor liver transplantation, biliary complications including bile leaks and biliary anastomotic strictures remain significant challenges, with incidences varying across different centers. This multicentric retrospective study (2016-2020) included 3633 adult patients from 18 centers and aimed to identify risk factors for these biliary complications and their impact on patient survival. Incidences of bile leaks and biliary strictures were 11.4% and 20.6%, respectively. Key risk factors for bile leaks included multiple bile duct anastomoses (Odds Ratio [OR] 1.8), Roux-en-hepaticojejunostomy (OR 1.4), and a history of major abdominal surgery (OR 1.4). For biliary anastomotic strictures, risk factors were ABO-incompatibility (OR 1.4), blood loss >1 liter (OR 1.4), and previous abdominal surgery (OR 1.7). Patients experiencing biliary complications had extended hospital stays, increased incidence of major complications, and higher Comprehensive Complication Index (CCI®) scores. The impact on graft survival became evident after accounting for immortal time bias using time-dependent covariate survival analysis. Bile leaks and biliary anastomotic strictures were associated with adjusted hazard ratios of 1.7 and 1.8 for graft survival, respectively. The study underscores the importance of minimizing these risks through careful donor selection and preoperative planning, as biliary complications significantly affect graft survival despite available effective treatments.

Anatomical variations of left hepatic vein are observed in nearly a third of left lateral segment (LLS) donors in living donor liver transplantation. However, there is a paucity of studies and no structured algorithm for customized outflow reconstruction in LLS grafts with variant anatomy. Analysis of a prospectively collected database of 296 LLS pediatric living donor liver transplantation was done to identify different venous drainage patterns of segments 2 (V2) and 3 (V3). Left hepatic vein anatomy was classified into 3 types: type 1 (n = 270, 91.2%): V2 and V3 joined to form a common trunk which drains into the middle hepatic vein/inferior vena cava (IVC), subtype 1a length of trunk ≥9 mm and subtype 1b length of trunk <9 mm; type 2(n = 6, 2%): V2 and V3 drain independently into IVC; type 3 (n = 20, 6.8%): V2 and V3 drain into IVC and middle hepatic vein respectively. Analysis of postoperative outcomes between LLS grafts with single and reconstructed multiple outflows showed no difference in the occurrence of hepatic vein thrombosis/stenosis, major morbidity (P = .91), and 5-year survival (log-rank P = .562). This classification is a simple yet effective tool for preoperative donor assessment, and we propose a schema for the customized reconstruction of LLS grafts with excellent and consistently reproducible outcomes.

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.

Madhur Pardasani, Vasantha Kumar Gunasekaran, Ashwin Rammohan, Sadhna Shankar, Ramkiran Cherukuru, Kumar Palaniappan, Rajesh Rajalingam, Gomathy Narasimhan, Ilan Kaliamoorthy, Mohamed Rela. Korean J Transplant 2023;37:294. https://doi.org/10.4285/ATW2023.F-9079