Characteristics and long-term mortality of individuals with MASLD, MetALD, and ALD, and the utility of SAFE score.

Background & Aims: The new nomenclature of steatotic liver disease (SLD) was recently launched with sub-classifications of metabolic dysfunction-associated SLD (MASLD), MASLD with increased alcohol intake (MetALD), and alcohol-related liver disease (ALD). Herein, we aimed to evaluate the characteristics and long-term outcomes associated with these subgroups and the utility of non-invasive biomarkers. Methods: Using NHANES III (the third National Health and Nutrition Examination Survey) and linked mortality data, all adult participants with available ultrasonographic liver steatosis status were included. Those with viral hepatitis, incomplete data on alcohol consumption, cardiometabolic risk, and missing data that hindered Steatosis-associated Fibrosis Estimator (SAFE) score calculation were excluded. The characteristics of those without SLD (no steatosis on ultrasound), MASLD, MetALD, and ALD were compared. Overall survival (OS) was determined and SAFE score strata were applied to SLD subgroups. Results: A total of 9,939 participants were eligible; 64% had no SLD, while 30%, 2.3%, and 1% had MASLD, MetALD, and ALD, respectively. A higher proportion of men, as well as active smokers, was observed in the MetALD and ALD groups compared to the MASLD group. Diabetes was more prevalent in the MASLD group than in the MetALD and ALD groups. The ALD subgroup had significantly lower OS than the MASLD group (p = 0.004), but the MetALD did not (p = 0.165). SAFE score strata meaningfully differentiated OS of all SLD subgroups. Conclusions: MASLD accounted for the largest proportion of SLD. MetALD shared the characteristics of both MASLD and ALD. The ALD subgroup had a significantly lower OS than the MASLD subgroup but there was no difference between MetALD and MASLD. The SAFE score can be used to stratify long-term outcomes in all SLD subgroups. Impact and implications: "Steatotic liver disease (SLD)" is a recently introduced term covering three subgroups: MASLD (metabolic dysfunction-associated SLD), MetALD (MASLD with increased alcohol intake), and ALD (alcohol-related liver disease). We explored the characteristics and outcomes of these subgroups among the US population. We found that MASLD was far more common than MetALD and ALD, but all subgroups shared cardiometabolic risk factors. The ALD subgroup has the worst survival, pointing to the synergistic effect of alcohol and metabolic dysfunction. In addition, the SAFE (Steatosis-associated Fibrosis Estimator) score might be a useful non-invasive test to stratify long-term risk in all three SLD subgroups.

Survival benefit of liver transplantation utilizing marginal donor organ according to ABO blood type.

BACKGROUND: The current liver transplantation (LT) allocation policy focuses on the Model for End-Stage Liver Disease (MELD) scores, often overlooking factors like blood type and survival benefits. Understanding blood types' impact on survival benefits is crucial for optimizing the MELD 3.0 classification. METHOD: This study used the United Network for Organ Sharing national registry database (2003-2020) to identify LT characteristics per ABO blood type and to determine the optimal MELD 3.0 scores for each blood type, based on survival benefits. RESULTS: The study included LT candidates aged 18 years or older listed for LT (total N=150,815; A:56,546, AB:5,841, B:18,500, O:69,928). Among these, 87,409 individuals (58.0%) underwent LT (A:32,156, AB:4,362, B:11,786, O:39,105). Higher transplantation rates were observed in AB and B groups, with lower median MELD 3.0 scores at transplantation (AB:21, B:24 vs. A/O:26, p<0.01) and shorter waiting times (AB:101 days, B:172 days vs. A:211 days, O:201 days, p<0.01). A preference for Donation after Cardiac Death (DCD) was seen in A and O recipients. Survival benefit analysis indicated that B blood type required higher MELD 3.0 scores for transplantation than A and O (Donation after Brain Death transplantation: ≥15 in B vs. ≥11 in A/O; DCD transplantation: ≥21 in B vs. ≥11 in A, ≥15 in O). CONCLUSION: The study suggests revising the allocation policy to consider blood type for improved post-LT survival. This calls for personalized LT policies, recommending higher MELD 3.0 thresholds, particularly for individuals with type B blood.

Baseline Viral Load and On-treatment Hepatocellular Carcinoma Risk in Chronic Hepatitis B: A Multinational Cohort Study.

BACKGROUND & AIMS: Hepatocellular carcinoma (HCC) risk persists in patients with chronic hepatitis B (CHB) despite antiviral therapy. The relationship between pre-treatment baseline hepatitis B virus (HBV) viral load and HCC risk during antiviral treatment remains uncertain. METHODS: This multinational cohort study aimed to investigate the association between baseline HBV viral load and on-treatment HCC risk in 20,826 noncirrhotic, hepatitis B e antigen (HBeAg)-positive and HBeAg-negative patients with baseline HBV DNA levels ≥2000 IU/mL (3.30 log10 IU/mL) who initiated entecavir or tenofovir treatment. The primary outcome was on-treatment HCC incidence, stratified by baseline HBV viral load as a categorical variable. RESULTS: In total, 663 patients developed HCC over a median follow-up of 4.1 years, with an incidence rate of 0.81 per 100 person-years (95% confidence interval [CI], 0.75-0.87). Baseline HBV viral load was significantly associated with HCC risk in a non-linear parabolic pattern, independent of other factors. Patients with baseline viral load between 6.00 and 7.00 log10 IU/mL had the highest on-treatment HCC risk (adjusted hazard ratio, 4.28; 95% CI, 2.15-8.52; P < .0001) compared with those with baseline viral load ≥8.00 log10 IU/mL, who exhibited the lowest HCC risk. CONCLUSION: Baseline viral load showed a significant, non-linear, parabolic association with HCC risk during antiviral treatment in noncirrhotic patients with CHB. Early initiation of antiviral treatment based on HBV viral load may help prevent irreversible HCC risk accumulation in patients with CHB.

Common definitions and variables are needed for the United States to join the conversation on acute-on-chronic liver failure.

Acute-on-chronic liver failure (ACLF) is a variably defined syndrome characterized by acute decompensation of cirrhosis with organ failures. At least 13 different definitions and diagnostic criteria for ACLF have been proposed, and there is increasing recognition that patients with ACLF may face disadvantages in the current United States liver allocation system. There is a need, therefore, for more standardized data collection and consensus to improve study design and outcome assessment in ACLF. In this article, we discuss the current landscape of transplantation for patients with ACLF, strategies to optimize organ utility, and data opportunities based on emerging technologies to facilitate improved data collection.

The Spread Pattern of New Practice in Liver Transplantation in the United States.

BACKGROUND: Introducing new liver transplantation (LT) practices, like unconventional donor use, incurs higher costs, making evaluation of their prognostic justification crucial. This study reexamines the spread pattern of new LT practices and its prognosis across the United States. METHODS: The study investigated the spread pattern of new practices using the UNOS database (2014-2023). Practices included LT for hepatitis B/C (HBV/HCV) nonviremic recipients with viremic donors, LT for COVID-19-positive recipients, and LT using onsite machine perfusion (OMP). One year post-LT patient and graft survival were also evaluated. RESULTS: LTs using HBV/HCV donors were common in the East, while LTs for COVID-19 recipients and those using OMP started predominantly in California, Arizona, Texas, and the Northeast. K-means cluster analysis identified three adoption groups: facilities with rapid, slow, and minimal adoption rates. Rapid adoption occurred mainly in high-volume centers, followed by a gradual increase in middle-volume centers, with little increase in low-volume centers. The current spread patterns did not significantly affect patient survival. Specifically, for LTs with HCV donors or COVID-19 recipients, patient and graft survivals in the rapid-increasing group was comparable to others. In LTs involving OMP, the rapid- or slow-increasing groups tended to have better patient survival (p = 0.05) and significantly improved graft survival rates (p = 0.02). Facilities adopting new practices often overlap across different practices. DISCUSSION: Our analysis revealed three distinct adoption groups across all practices, correlating the adoption aggressiveness with LT volume in centers. Aggressive adoption of new practices did not compromise patient and graft survivals, supporting the current strategy. Understanding historical trends could predict the rise in future LT cases with new practices, aiding in resource distribution.

Continuous Risk Score Predicts Waitlist and Post-transplant Outcomes in Hepatocellular Carcinoma Despite Exception Changes.

BACKGROUND & AIMS: Continuous risk-stratification of candidates and urgency-based prioritization have been utilized for liver transplantation (LT) in patients with non-hepatocellular carcinoma (HCC) in the United States. Instead, for patients with HCC, a dichotomous criterion with exception points is still used. This study evaluated the utility of the hazard associated with LT for HCC (HALT-HCC), an oncological continuous risk score, to stratify waitlist dropout and post-LT outcomes. METHODS: A competing risk model was developed and validated using the UNOS database (2012-2021) through multiple policy changes. The primary outcome was to assess the discrimination ability of waitlist dropouts and LT outcomes. The study focused on the HALT-HCC score, compared with other HCC risk scores. RESULTS: Among 23,858 candidates, 14,646 (59.9%) underwent LT and 5196 (21.8%) dropped out of the waitlist. Higher HALT-HCC scores correlated with increased dropout incidence and lower predicted 5-year overall survival after LT. HALT-HCC demonstrated the highest area under the curve (AUC) values for predicting dropout at various intervals post-listing (0.68 at 6 months, 0.66 at 1 year), with excellent calibration (R2 = 0.95 at 6 months, 0.88 at 1 year). Its accuracy remained stable across policy periods and locoregional therapy applications. CONCLUSIONS: This study highlights the predictive capability of the continuous oncological risk score to forecast waitlist dropout and post-LT outcomes in patients with HCC, independent of policy changes. The study advocates integrating continuous scoring systems like HALT-HCC in liver allocation decisions, balancing urgency, organ utility, and survival benefit.

The Future Frontier of Liver Transplantation Exploring Young Donor Allocation Strategies for HCC Recipients.

Background: The role of donor age in liver transplantation (LT) outcomes for hepatocellular carcinoma (HCC) is controversial. Given the significant risk of HCC recurrence post-LT, optimizing donor/recipient matching is crucial. This study reassesses the impact of young donors on LT outcomes in patients with HCC. Methods: A retrospective review of 11 704 LT cases from the United Network for Organ Sharing database (2012-2021) was conducted. The study focused on the effect of donor age on recurrence-free survival, using hazard associated with LT for HCC (HALT-HCC) and Metroticket 2.0 scores to evaluate post-LT survival in patients with HCC. Results: Of 4706 cases with young donors, 11.0% had HCC recurrence or death within 2 y, and 18.3% within 5 y. These outcomes were comparable with those of non-young donors. A significant correlation between donor age and post-LT recurrence or mortality (P = 0.04) was observed, which became statistically insignificant after tumor-related adjustments (P = 0.32). The Kaplan-Meier curve showed that recipients with lower HALT-HCC scores (<9) and Metroticket 2.0 scores (<2.2) significantly benefited from young donors, unlike those exceeding these score thresholds. Cox regression analysis showed that donor age significantly influenced outcomes in recipients below certain score thresholds but was less impactful for higher scores. Conclusions: Young donors are particularly beneficial for LT recipients with less aggressive HCC, as indicated by their HALT-HCC and Metroticket 2.0 scores. These findings suggest strategically allocating young donors to recipients with less aggressive tumor profiles, which could foster more efficient use of the scarce donor supply and potentially enhance post-LT outcomes.

Timely Albumin Infusion May Improve Resource Utilization in Patients with Cirrhosis and Spontaneous Bacterial Peritonitis.

Spontaneous bacterial peritonitis is a life-threatening complication of cirrhosis that can increase healthcare utilization. The impact of albumin administration timing on hospital resource utilization and its optimal timing is unclear, despite its efficacy in improving survival for cirrhosis patients with spontaneous bacterial peritonitis. A retrospective study was conducted to evaluate the influence of the timing of albumin administration on the length of stay and total hospital cost for patients with cirrhosis and spontaneous bacterial peritonitis who require fluid resuscitation. The study utilized de-identified data from Cerner Health Facts® data. Adult inpatients with a diagnosis of cirrhosis and SBP receiving ≥1 antibiotic and fluid resuscitation between January 1, 2009, and April 30, 2018, were included and stratified by albumin administration timing: ≤24 hours from hospital admission ("timely albumin") or >24 hours of admission or no albumin ("non-timely albumin"). We used a Kaplan-Meier curve with log-rank test to evaluate the association between timing of albumin administration and time to hospital discharge and a generalized linear model to examine the association between albumin timing and total hospital costs. We identified 1,308 hospitalizations, of which 301 contained valid cost data. The timely albumin group had a median time to discharge of 6.95 days compared to 7.78 days in the non-timely group (p = 0.02). Cost model showed that receiving timely albumin incurred 16% lower costs (p = 0.027) than patients in the non-timely albumin group. Timely albumin administration with an antibiotic regimen may shorten the length of stay and lower costs, thereby reducing hospital resource utilization in patients with cirrhosis and spontaneous bacterial peritonitis requiring fluid resuscitation.

Sequential SAFE Score and Transient Elastography for Detecting Significant Fibrosis in Asian Patients with MASLD.

Metabolic dysfunction-associated steatotic liver disease (MASLD), formerly known as nonalcoholic fatty liver disease (NAFLD),1 represents a global public health issue. Fibrosis stage is the most important risk for long-term undesirable outcomes.2,3 From recent meta-analyses, all-cause and liver-related mortalities significantly increased from fibrosis stage 2 (significant fibrosis; F≥2) onward.4,5 In primary care setting, those with F≥2 should be referred to hepatologists; therefore, noninvasive tests to stratify risk of patients with MASLD are crucial. Steatosis-associated fibrosis estimator (SAFE) was recently developed to predict F≥2.6 SAFE has been externally validated and outperformed fibrosis-4 (FIB-4) and NAFLD fibrosis score (NFS).7,8 Recently, international guidelines proposed sequential diagnostic steps, initially using FIB-4 and then transient elastography (TE) in non-low-risk patients.9,10 However, the guidelines focused on identifying advanced fibrosis (F≥3), which might be too late. This study aimed to compare the performance among SAFE, FIB-4, and NFS, and evaluate SAFE-TE sequential approach. We hypothesized that by initially using SAFE, the proportion of patients misclassified as low risk despite already having F≥2 could be diminished.

The suggestion of mitigating disparity in the liver transplantation field among ABO blood type.

Medical literature highlights differences in liver transplantation (LT) waitlist experiences among ABO blood types. Type AB candidates reportedly have higher LT rates and reduced mortality. Despite liver offering guidelines, ABO disparities persist. This study examines LT access discrepancies among blood types, focusing on type AB, and seeks equitable strategies. Using the United Network for Organ Sharing database (2003-2022), 170 276 waitlist candidates were retrospectively analyzed. Dual predictive analyses (LT opportunity and survival studies) evaluated 1-year recipient pool survival, considering waitlist and post-LT survival, alongside anticipated allocation value per recipient, under 6 scenarios. Of the cohort, 97 670 patients (57.2%) underwent LT. Type AB recipients had the highest LT rate (73.7% vs 55.2% for O), shortest median waiting time (90 vs 198 days for A), and lowest waitlist mortality (12.9% vs 23.9% for O), with the lowest median model for end-stage liver disease-sodium (MELD-Na) score (20 vs 25 for A/O). The LT opportunity study revealed that reallocating type A (or A and O) donors originally for AB recipients to A recipients yielded the greatest reduction in disparities in anticipated value per recipient, from 0.19 (before modification) to 0.08. Meanwhile, the survival study showed that ABO-identical LTs reduced disparity the most (3.5% to 2.8%). Sensitivity analysis confirmed these findings were specific to the MELD-Na score < 30 population, indicating current LT allocation may favor certain blood types. Prioritizing ABO-identical LTs for MELD-Na score < 30 recipients could ensure uniform survival outcomes and mitigate disparities.

Benchmarking clinical risk prediction algorithms with ensemble machine learning for the noninvasive diagnosis of liver fibrosis in NAFLD.

BACKGROUND AND AIMS: Ensemble machine-learning methods, like the superlearner, combine multiple models into a single one to enhance predictive accuracy. Here we explore the potential of the superlearner as a benchmarking tool for clinical risk prediction, illustrating the approach to identifying significant liver fibrosis among patients with NAFLD. APPROACH AND RESULTS: We used 23 demographic/clinical variables to train superlearner(s) on data from the NASH-clinical research network observational study (n = 648) and validated models with data from the FLINT trial (n = 270) and National Health and Nutrition Examination Survey (NHANES) participants with NAFLD (n = 1244). Comparing the superlearner's performance to existing models (Fibrosis-4 [FIB-4], NAFLD fibrosis score, Forns, AST to Platelet Ratio Index [APRI], BARD, and Steatosis-Associated Fibrosis Estimator [SAFE]), it exhibited strong discriminative ability in the FLINT and NHANES validation sets, with AUCs of 0.79 (95% CI: 0.73-0.84) and 0.74 (95% CI: 0.68-0.79) respectively. CONCLUSIONS: Notably, the SAFE score performed similarly to the superlearner, both of which outperformed FIB-4, APRI, Forns, and BARD scores in the validation data sets. Surprisingly, the superlearner derived from 12 base models matched the performance of one with 90 base models. Overall, the superlearner, being the "best-in-class" machine-learning predictor, excelled in detecting fibrotic NASH, and this approach can be used to benchmark the performance of conventional clinical risk prediction models.

Enhancing the usability of older DCD donors through strategic approaches in liver transplantation in the United States.

The use of older donors after circulatory death (DCD) for liver transplantation (LT) has increased over the past decade. This study examined whether outcomes of LT using older DCD (≥50 y) have improved with advancements in surgical/perioperative care and normothermic machine perfusion (NMP) technology. A total of 7602 DCD LT cases from the United Network for Organ Sharing database (2003-2022) were reviewed. The impact of older DCD donors on graft survival was assessed using the Kaplan-Meier and HR analyses. In all, 1447 LT cases (19.0%) involved older DCD donors. Although there was a decrease in their use from 2003 to 2014, a resurgence was noted after 2015 and reached 21.9% of all LTs in the last 4 years (2019-2022). Initially, 90-day and 1-year graft survivals for older DCDs were worse than younger DCDs, but this difference decreased over time and there was no statistical difference after 2015. Similarly, HRs for graft loss in older DCD have recently become insignificant. In older DCD LT, NMP usage has increased recently, especially in cases with extended donor-recipient distances, while the median time from asystole to aortic cross-clamp has decreased. Multivariable Cox regression analyses revealed that in the early phase, asystole to cross-clamp time had the highest HR for graft loss in older DCD LT without NMP, while in the later phases, the cold ischemic time (>5.5 h) was a significant predictor. LT outcomes using older DCD donors have become comparable to those from young DCD donors, with recent HRs for graft loss becoming insignificant. The strategic approach in the recent period could mitigate risks, including managing cold ischemic time (≤5.5 h), reducing asystole to cross-clamp time, and adopting NMP for longer distances. Optimal use of older DCD donors may alleviate the donor shortage.

Chronic hepatitis B baseline viral load and on-treatment liver cancer risk: A multinational cohort study of HBeAg-positive patients.

BACKGROUND AND AIMS: A single-nation study reported that pretreatment HBV viral load is associated with on-treatment risk of HCC in patients who are HBeAg-positive without cirrhosis and with chronic hepatitis B initiating antiviral treatment. We aimed to validate the association between baseline HBV viral load and on-treatment HCC risk in a larger, multinational cohort. APPROACH AND RESULTS: Using a multinational cohort from Korea, Hong Kong, and Taiwan involving 7545 adult patients with HBeAg-positive, without cirrhosis and with chronic hepatitis B who started entecavir or tenofovir treatment with baseline HBV viral load ≥5.00 log 10 IU/mL, HCC risk was estimated by baseline viral load. HBV viral load was analyzed as a categorical variable. During continuous antiviral treatment (median, 4.28 y), HCC developed in 200 patients (incidence rate, 0.61 per 100 person-years). Baseline HBV DNA level was independently associated with on-treatment HCC risk in a nonlinear pattern. HCC risk was lowest with the highest baseline viral load (≥8.00 log 10 IU/mL; incidence rate, 0.10 per 100 person-years), but increased sharply as baseline viral load decreased. The adjusted HCC risk was 8.05 times higher (95% CI, 3.34-19.35) with baseline viral load ≥6.00 and <7.00 log 10 IU/mL (incidence rate, 1.38 per 100 person-years) compared with high (≥8.00 log 10 IU/mL) baseline viral load ( p <0.001). CONCLUSIONS: In a multinational cohort of adult patients with HBeAg-positive without cirrhosis and with chronic hepatitis B, baseline HBV viral load was significantly associated with HCC risk despite antiviral treatment. Patients with the highest viral load who initiated treatment had the lowest long-term risk of HCC development.

OPTN/SRTR 2022 Annual Data Report: Liver.

In 2022, liver transplant activity continued to increase in the United States, with an all-time high of 9,527 transplants performed, representing a 52% increase over the past decade (2012-2022). Of these transplants, 8,924 (93.7%) were from deceased donors and 603 (6.3%) were from living donors. Liver transplant recipients were 94.5% adult and 5.5% pediatric. The overall size of the liver transplant waiting list contracted, with more patients being removed than added, although 10,548 adult patients still remained on the waiting list at the end of 2022. Alcohol-associated liver disease continued to be the leading diagnosis among both candidates and recipients, followed by metabolic dysfunction-associated steatohepatitis. Simultaneous liver-kidney transplant was the most common multiorgan combination, with 800 liver-kidney transplants performed in 2022; in addition, there were 303 new listings for kidney transplant via the safety net mechanism. Among adults added to the liver waiting list in 2021, 39.9% received a deceased donor liver transplant within 3 months; 45.7%, within 6 months; and 54.5%, within 1 year. Pretransplant mortality decreased to 12.3 deaths per 100 patient-years in 2022, although still 15.6% of removals from the waiting list were for death or being too sick for transplant. Graft and patient survival outcomes after deceased donor liver transplant improved, approximating pre-COVID-19 pandemic levels, with 5.1% mortality observed at 6 months; 6.8%, at 1 year; 12.7%, at 3 years; 19.8%, at 5 years; and 35.7%, at 10 years. Five-year graft and patient survival rates after living donor liver transplant exceeded those of deceased donor liver transplant. Candidates receiving model for end-stage liver disease exception points for hepatocellular carcinoma constituted 15.5% of transplants performed in 2022, with similar transplant rates and posttransplant outcomes compared to cases without hepatocellular carcinoma exception. In 2022, more pediatric liver transplant candidates were added to the waiting list and underwent transplant compared with either of the preceding 2 years, with an uptick in living donor liver transplant volume. Although pretransplant mortality has improved after the recent policy change prioritizing pediatric donors for pediatric recipients, still, in 2022, 50 children died or were removed from the waiting list for being too sick to undergo transplant. Posttransplant mortality among pediatric liver transplant recipients remained notable, with death occurring in 4.0% at 6 months, 6.0% at 1 year, 8.2% at 3 years, 9.8% at 5 years, and 13.9% at 10 years. Similar to adult living donor recipients, pediatric living donor recipients had better 5-year patient survival compared with deceased donor recipients.

Diagnostic and prognostic performance of the SAFE score in non-alcoholic fatty liver disease.

BACKGROUND & AIMS: The steatosis-associated fibrosis estimator (SAFE) score was developed to detect clinically significant liver fibrosis in patients with NAFLD in the United States. We compare the performance of the SAFE score and other non-invasive tests to diagnose liver fibrosis and to correlate the scores with liver-related outcomes in patients with NAFLD in Hong Kong. METHODS: This was a retrospective cohort study involving two data sets. The first cohort was a biopsy cohort of NAFLD patients (n = 279), and the second was a territory-wide cohort of NAFLD patients (n = 4603) retrieved from a territory-wide electronic healthcare database in Hong Kong. RESULTS: In detecting significant fibrosis, liver stiffness measured by transient elastography had the highest area under the receiver operating characteristic curve (AUROC) (.844), followed by SAFE score (.773). SAFE score had the highest AUROC among blood-based algorithms (.773 vs. .746 for FIB-4, .697 for APRI). Based on cut-off values of SAFE score (0 and 100 points), 854 (18.6%), 1596 (34.6%) and 2153 (46.8%) were in the low-, intermediate- and high-risk groups, respectively, in the territory-wide cohort. Six (.7%), 15 (.9%) and 59 (2.7%) developed liver-related events in those three groups respectively. Among patients who had liver-related events at 5 years, using the high cut-off, SAFE score could predict 84.9% of patients accurately, compared to 40.9% for FIB-4 and 27.2% for APRI. CONCLUSION: The SAFE score performed well and better than other blood-based markers in diagnosing significant fibrosis and predicting liver-related events in Asian patients with NAFLD.

Alcohol Use in Liver Transplant Recipients With Alcohol-related Liver Disease: A Comparative Assessment of Relapse Prediction Models.

BACKGROUND: The selection of liver transplant (LT) candidates with alcohol-related liver disease (ALD) is influenced by the risk of alcohol relapse (AR), yet the ability to predict AR is limited. We evaluate psychosocial factors associated with post-LT AR and compare the performance of high-risk alcoholism risk (HRAR), sustained alcohol use post-LT (SALT), and the Stanford Integrated Psychosocial Assessment for Transplantation (SIPAT) scores in predicting relapse. METHODS: A retrospective analysis of ALD patients undergoing LT from 2015 to 2021 at a single US transplant center was performed. Risk factors associated with post-LT AR were evaluated and test characteristics of 3 prediction models were compared. RESULTS: Of 219 ALD LT recipients, 23 (11%) had AR during a median study follow-up of 37.5 mo. On multivariate analysis, comorbid psychiatric illness (odds ratio 5.22) and continued alcohol use after advice from a health care provider (odds ratio 3.8) were found to be significantly associated with post-LT AR. On sensitivity analysis, SIPAT of 30 was optimal on discriminating between ALD LT recipients with and without post-LT AR. SIPAT outperformed both the HRAR and SALT scores (c-statistic 0.67 versus 0.59 and 0.62, respectively) in identifying post-LT AR. However, all scores had poor positive predictive value (<25%). CONCLUSIONS: AR after LT is associated with comorbid psychiatric illness and lack of heeding health care provider advice to abstain from alcohol. Although SIPAT outperformed the HRAR and SALT scores in predicting AR, all are poor predictors. The current tools to predict post-LT AR should not be used to exclude LT candidacy.

Hepatitis C Screening in Post-Baby Boomer Generation Americans: One Size Does Not Fit All.

OBJECTIVES: To analyze the impact of access to routine health care, as estimated by health insurance coverage, on hepatitis C virus (HCV) infection prevalence in US adults born after 1965 (post-baby boomer birth cohort [post-BBBC]) and to use the data to formulate strategies to optimize population screening for HCV. PATIENTS AND METHODS: Adult examinees in the National Health and Nutrition Examination Survey with available anti-HCV data were divided into era 1 (1999-2008) and era 2 (2009-2016). The prevalence of HCV infection, as defined by detectable serum HCV RNA, was determined in post-BBBC adults. In low prevalence groups, prescreening modalities were considered to increase the pretest probability. RESULTS: Of 16,966 eligible post-BBBC examinees, 0.5% had HCV infection. In both eras, more than 50% had no insurance. In era 2, HCV prevalence was 0.26% and 0.83% in those with and without insurance, respectively (P<.01). As a prescreening test, low alanine aminotransferase level (<23 U/L in women and 32 U/L in men) would identify 54% of post-BBBC adults with an extremely low (0.02%) HCV prevalence. Based on these data, a tiered approach that tests all uninsured directly for HCV and prescreens the insured with alanine aminotransferase would reduce the number to test by 56.5 million while missing less than 1% infections. CONCLUSION: For HCV elimination, passive "universal" screening in routine health care settings is insufficient, although the efficiency of screening may be improved with alanine aminotransferase prescreening. Importantly, for individuals with limited access to health care, proactive outreach programs for HCV screening are still needed.

Benchmarking clinical risk prediction algorithms with ensemble machine learning: An illustration of the superlearner algorithm for the non-invasive diagnosis of liver fibrosis in non-alcoholic fatty liver disease.

Background and Aims: Ensemble machine learning (ML) methods can combine many individual models into a single 'super' model using an optimal weighted combination. Here we demonstrate how an underutilized ensemble model, the superlearner, can be used as a benchmark for model performance in clinical risk prediction. We illustrate this by implementing a superlearner to predict liver fibrosis in patients with non-alcoholic fatty liver disease (NAFLD). Methods: We trained a superlearner based on 23 demographic and clinical variables, with the goal of predicting stage 2 or higher liver fibrosis. The superlearner was trained on data from the Non-alcoholic steatohepatitis - clinical research network observational study (NASH-CRN, n=648), and validated using data from participants in a randomized trial for NASH ('FLINT' trial, n=270) and data from examinees with NAFLD who participated in the National Health and Nutrition Examination Survey (NHANES, n=1244). We compared the performance of the superlearner with existing models, including FIB-4, NFS, Forns, APRI, BARD and SAFE. Results: In the FLINT and NHANES validation sets, the superlearner (derived from 12 base models) discriminates patients with significant fibrosis from those without well, with AUCs of 0.79 (95% CI: 0.73-0.84) and 0.74 (95% CI: 0.68-0.79). Among the existing scores considered, the SAFE score performed similarly to the superlearner, and the superlearner and SAFE scores outperformed FIB-4, APRI, Forns, and BARD scores in the validation datasets. A superlearner model derived from 12 base models performed as well as one derived from 90 base models. Conclusions: The superlearner, thought of as the "best-in-class" ML prediction, performed better than most existing models commonly used in practice in detecting fibrotic NASH. The superlearner can be used to benchmark the performance of conventional clinical risk prediction models.

OPTN/SRTR 2021 Annual Data Report: Liver.

In 2021, liver transplant volume continued to grow, with a record 9,234 transplants performed in the United States, 8,665 (93.8%) from deceased donors and 569 (6.2%) from living donors. There were 8,733 (94.6%) adult and 501 (5.4%) pediatric liver transplant recipients. An increase in the number of deceased donor livers corresponded to an increase in the overall transplant rate and shorter waiting times, although still 10.0% of livers that were recovered were not transplanted. Alcohol-associated liver disease was the leading indication for both waitlist registration and liver transplant in adults, outpacing nonalcoholic steatohepatitis, while biliary atresia remained the leading indication for children. Related to allocation policy changes implemented in 2019, the proportion of liver transplants performed for hepatocellular carcinoma has decreased. Among adult candidates listed for liver transplant in 2020, 37.7% received a deceased donor liver transplant within 3 months, 43.8% within 6 months, and 53.3% within 1 year. Pretransplant mortality improved for children following implementation of acuity circle-based distribution. Short-term graft and patient survival outcomes up to 1 year worsened for adult deceased and living donor liver transplant recipients, which is a reversal of previous trends and coincided with the onset of the COVID-19 pandemic in early 2020. Longer-term outcomes among adult deceased donor liver transplant recipients were unaffected, with overall posttransplant mortality rates of 13.3% at 3 years, 18.6% at 5 years, and 35.9% at 10 years. Pretransplant mortality improved for children following implementation of acuity circle-based distribution and prioritization of pediatric donors to pediatric recipients in 2020. Pediatric living donor recipients had superior graft and patient survival outcomes compared with deceased donor recipients at all time points.