Faculty Bibliography

OBJECTIVES:European liver transplant (LT) centers have moved away from using the Milan Criteria (MC) for hepatocellular carcinoma (HCC) patient selection, turning to models including tumor biological indices, namely alpha-fetoprotein (AFP). We present the first US model to incorporate an AFP response (AFP-R), with comparisons to MC and French-AFP models (F-AFP). METHODS:AFP-R was measured as differences between maximum and final pre-LT AFP in HCC patients undergoing LT at 3 US centers (2001 to 2013). Cox and competing risk-regression analyses identified predictors of recurrence-free survival (RFS). RESULTS:Of 1450 patients, 235 (16.2%) were outside MC. Tumor size, number, and AFP-R were independent predictors of RFS and were assigned weighted points based on Cox-regression analysis. An AFP-R consistently < 200 ng/mL predicted the best outcome. A 3-tiered competing-risk RFS model, the New York/California (NYCA) score, was developed, accurately discriminating between groups (P < 0.001), and correlating with overall survival (P < 0.001). Two hundred one of 235 patients outside MC (85.5%) would be recategorized into NYCA low/acceptable-risk groups. The c-statistic for our NYCA score is 0.731 compared with 0.613 for MC and 0.658 for F-AFP (P < 0.0001). CONCLUSION:Incorporation of AFP-R into HCC selection criteria allows for MC expansion. As United Network for Organ Sharing considers adding AFP to selection algorithms, the NYCA score provides an objective, user-friendly tool for centers to appropriately risk-stratify patients.

OBJECTIVE:In order to minimize the impact of donation, fully laparoscopic donor hepatectomy (LDH) is being investigated at a few centers throughout the world. We report here our experience with 51 living donor pure laparoscopic hepatectomies. BACKGROUND:Adoption of minimal access techniques to living donor liver transplantation (LDLT) has been slowed by concerns about donor safety and the quality of the grafts. METHODS:Of 344 donor hepatectomies (DHs) for living donor liver transplantation (LDLT) since 1998, 51 pure LDH have been performed since 2009. We report here our experience with 51 living donor pure laparoscopic hepatectomy (LH), based on prospectively collected data. There were 31 left lateral sectionectomy and 20 full lobectomies LH. We matched full lobe LH to open DH prior to introduction of LH. RESULTS:LH increased from 21% of all DH in first 5 years of performing LH to 45% of DH in the most recent 3 years. Laparoscopic donors were more likely female, had lower body mass index, smaller total livers, and smaller allografts but longer operating room times. In the total LD experience, total 5 donors were converted to open surgery (10%), 2 donors required transfusion (4%), and there was 2 donor bile leaks (4%). Recipient patient and graft 1-year survival was 98% and 94%. CONCLUSIONS:Our experience indicates that LDH for LDLT can be safely used with appropriate attention to learning curve and progression from left lateral sectionectomy to right hepatectomy.

BACKGROUND:An index that predicts liver allograft discard can effectively grade allografts and can be used to preferentially allocate marginal allografts to aggressive centers. The aim of this study is to devise an index to predict liver allograft discard using only risk factors available at the time of initial DonorNet offer. METHODS:Using univariate and multivariate analyses on a training set of 72 297 deceased donors, we identified independent risk factors for liver allograft discard. Multiple imputation was used to account for missing variables. RESULTS:We identified 15 factors as significant predictors of liver allograft discard; the most significant risk factors were: total bilirubin > 10 mg/dL (odds ratio [OR], 25.23; confidence interval [CI], 17.32-36.77), donation after circulatory death (OR, 14.13; CI, 13.30-15.01), and total bilirubin 5 to 10 mg/dL (OR, 7.57; 95% CI, 6.32-9.05). The resulting Discard Risk Index (DSRI) accurately predicted the risk of liver discard with a C statistic of 0.80. We internally validated the model with a validation set of 37 243 deceased donors and also achieved a 0.80 C statistic. At a DSRI at the 90th percentile, the discard rate was 50% (OR, 32.34; CI, 28.63-36.53), whereas at a DSRI at 10th percentile, only 3% of livers were discarded. CONCLUSIONS:The use of the DSRI can help predict liver allograft discard. The DSRI can be used to effectively grade allografts and preferentially allocate marginal allografts to aggressive centers to maximize the donor yield and expedite allocation.

The liver's capacity to grow in response to metabolic need is well known. However, long-term growth of liver allografts in pediatric recipients has not been characterized. A retrospective review of pediatric recipients at a single institution identified patients who had cross-sectional imaging at 1, 5, and 10 years post-transplant. Using volumetric calculations, liver allograft size was calculated and percent SLV were compared across the different time points; 18 patients ranging from 0.3 to 17.7 years old were identified that had imaging at 2 or more time points. Measured liver volumes increased by 59% after 5 years and 170% after 10 years. The measured liver volumes compared to calculated %SLV for these patients were 123 ± 37%, 97 ± 19%, and 118 ± 27% at 1, 5, and 10 years after transplant, respectively. Our data suggest that liver allografts in pediatric recipients increase along with overall growth, and reach SLVs for height and weight by 5 years post-transplantation. Additionally, as pediatric recipients grow, the livers appear to maintain appropriate SLV.

Of the 1.6 million patients >70 years of age who died of stroke since 2002, donor livers were retrieved from only 2402 (0.15% yield rate). Despite reports of successful liver transplantation (LT) with elderly grafts (EG), advanced donor age is considered a risk for poor outcomes. Centers for Medicare and Medicaid Services definitions of an "eligible death" for donation excludes patients >70 years of age, creating disincentives to donation. We investigated utilization and outcomes of recipients of donors >70 through analysis of a United Network for Organ Sharing Standard Transplant Analysis and Research-file of adult LTs from 2002 to 2014. Survival analysis was conducted using Kaplan-Meier curves, and Cox regression was used to identify factors influencing outcomes of EG recipients. Three thousand one hundred four livers from donors >70, ≈40% of which were used in 2 regions: 2 (520/3104) and 9 (666/3104). Unadjusted survival was significantly worse among recipients of EG compared to recipients of younger grafts (P < .0001). Eight independent negative predictors of survival in recipients of EG were identified on multivariable analysis. Survival of low-risk recipients who received EG was significantly better than survival of recipients of younger grafts (P = .04). Outcomes of recipients of EG can therefore be optimized to equal outcomes of younger grafts. Given the large number of stroke deaths in patients >70 years of age, the yield rate of EGs can be maximized and disincentives removed to help resolve the organ shortage crisis.

Small bowel bleeding should be considered in patients who continue to bleed despite a negative upper endoscopy and colonoscopy. The differential diagnosis of small bowel bleeding can include infection, inflammatory conditions, vascular malformations, and, rarely, malignancy. This report demonstrates a rare, primary, small bowel, reticular cell sarcoma presenting as an overt gastrointestinal bleed. These tumors are difficult to diagnose because they are rarely seen on traditional cross-sectional imaging and can present with multiple synchronous lesions throughout the intestinal tract.

Hepatocellular carcinoma (HCC) is the most common liver malignancy and the third most common cause of cancer-related deaths. Liver resection (LR) and liver transplantation (LT) are the only curative modalities for HCC. Despite recent advances and the adoption of the Milan and University of California, San Francisco, criteria, HCC recurrence after LR and LT remains a challenge. Several markers and prognostic scores have been proposed to predict tumor aggressiveness and supplement radiological data; among them, neutrophil-lymphocyte ratio (NLR) has recently gained significant interest. An elevated NLR is thought to predispose to HCC recurrence by creating a protumorigenic microenvironment through both relative neutrophilia and lymphocytopenia. In the present review, we attempted to summarize the published work on the role of pretreatment NLR as a prognostic marker for HCC following LR and LT. A total of 13 LT and 18 LR studies were included from 2008 to 2015. Pretransplant NLR was most often predictive of HCC recurrence, recurrence-free survival, and overall survival. NLR was, however, more variably and less clearly associated with worse outcomes following LR.

An index to predict hospital length of stay after liver transplantation could address unmet clinical needs. Length of stay is an important surrogate for hospital costs and efforts to limit stays can preserve our healthcare resources. Here, we devised a scoring system that predicts hospital length of stay following liver transplantation. We used univariate and multivariate analyses on 73 635 adult liver transplant recipient data and identified independent recipient and donor risk factors for prolonged hospital stay (>30 days). Multiple imputation was used to account for missing variables. We identified 22 factors as significant predictors of prolonged hospital stay, including the most significant risk factors: intensive care unit (ICU) admission (OR 1.75, CI 1.58-1.95) and previous transplant (OR 1.60, CI 1.47-1.75). The length of stay (LOS) index assigns weighted risk points to each significant factor in a scoring system to predict prolonged hospital stay after liver transplantation with a c-statistic of 0.75. The LOS index demonstrated good discrimination across the entire population, dividing the cohort into tertiles, which had odds ratios of 2.25 (CI 2.06-2.46) and 7.90 (7.29-8.56) for prolonged hospital stay (>30 days). The LOS index utilizes 22 significant donor and recipient factors to accurately predict hospital length of stay following liver transplantation. The index further demonstrates the basis for a clear clinical recommendation to mitigate risk of long hospitalization by minimizing cold ischemia time.