INTRODUCTION: Metabolic dysfunction-associated steatotic liver disease (MASLD) is an important public health threat, potentially leading to chronic liver disease and liver cancer. Current guidelines recommend using the Fibrosis-4 score for initial identification of subjects at risk of future complications. We formulate a novel population screening strategy based on the Steatosis-Associated Fibrosis Estimator (SAFE) score, recently developed for MASLD risk stratification in primary care. METHODS: We interrogated the National Health and Nutrition Examination Survey data, 2017–20, in which a sample of subjects representative of US civilian population underwent vibration-controlled transient elastography (VCTE). The current guideline and a new, SAFE-based proposal were applied to these data to project the number of subjects to be diagnosed with liver fibrosis gauged by liver stiffness measurement (LSM), including significant (LSM ≥8 kPa) and advanced (LSM ≥12 kPa) fibrosis, as well as the number of VCTEs to be performed. RESULTS: In the survey data, 2,691 subjects, projecting to 75.8 million US adults, were found to have MASLD, of whom 11% had LSM 8–12 kPa and 6% LSM ≥12 kPa. When the current guideline was applied, 18.1 million VCTEs would be needed to diagnose 3.5 million subjects with LSM ≥8 kPa and 1.7 million subjects with LSM ≥12 kPa. In comparison, a new approach based on the SAFE score would detect 4.9 million with LSM ≥8 kPa and 2.5 million subjects with LSM ≥12 kPa (37% and 45% improvement over the current guideline, respectively), while requiring 5.0 million fewer VCTEs (28% reduction). DISCUSSION: The proposed population risk stratification approach using the SAFE score is simpler and substantially more effective, yielding more subjects with liver fibrosis while requiring less resources compared with the currently recommended algorithm.
Clinical trials have been a central driver of change and have provided the evidence base necessary to advance new therapies for liver diseases. This review provides a perspective on the status of trials in hepatology and a vantage point into the emerging capabilities and external forces that will shape the conduct of clinical trials in the future. The adaptations to clinical trial operations in response to the disruptions by the COVID-19 pandemic and opportunities for innovation in hepatology trials are emphasized. Future trials in hepatology will be driven by unmet therapeutic needs and fueled by technological advances incorporating digital capabilities with expanded participant-derived data collection, computing, and analytics. Their design will embrace innovative trial designs adapted to these advances and that emphasize broader and more inclusive participant engagement. Their conduct will be further shaped by evolving regulatory needs and the emergence of new stakeholders in the clinical trials ecosystem. The evolution of clinical trials will offer unique opportunities to advance new therapeutics that will ultimately improve the lives of patients with liver diseases.
Research methodologies to address clinical unmet needs and challenges in alcohol‐associated liver disease
Abstract Alcohol‐associated liver disease (ALD) is emerging worldwide as the leading cause of liver‐related morbidity, mortality, and indication for liver transplantation. The ALD Special Interest Group and the Clinical Research Committee at the digital American Association for the Study of Liver Diseases meeting in November 2020 held the scientific sessions to identify clinical unmet needs in ALD, and addressing these needs using clinical research methodologies. Of several research methodologies, the sessions were focused on (a) studying disease burden of ALD using large administrative databases, (b) developing biomarkers for noninvasive diagnosis of alcohol‐associated hepatitis (AH) and estimation of disease prognosis, (c) identifying therapeutic targets for ALD and AH, (d) deriving accurate models to predict prognosis or posttransplant alcohol relapse as a basis for developing treatment algorithm and a uniform protocol on patient‐selection criteria for liver transplantation, and (e) examining qualitative research methodologies in studying the barriers to implementation of multidisciplinary integrated care model by hepatology and addiction teams for the management of dual pathology of liver disease and of alcohol use disorder. Prospective multicenter studies are required to address many of these clinical unmet needs. Further, multidisciplinary care models are needed to improve long‐term outcomes in patients with ALD.
Posttransplant Outcomes in Older Patients With Hepatocellular Carcinoma Are Driven by Non–Hepatocellular Carcinoma Factors
The incidence of hepatocellular carcinoma (HCC) is growing in the United States, especially among the elderly. Older patients are increasingly receiving transplants as a result of HCC, but the impact of advancing age on long‐term posttransplant outcomes is not clear. To study this, we used data from the US Multicenter HCC Transplant Consortium of 4980 patients. We divided the patients into 4 groups by age at transplantation: 18 to 64 years (n = 4001), 65 to 69 years (n = 683), 70 to 74 years (n = 252), and ≥75 years (n = 44). There were no differences in HCC tumor stage, type of bridging locoregional therapy, or explant residual tumor between the groups. Older age was confirmed to be an independent and significant predictor of overall survival even after adjusting for demographic, etiologic, and cancer‐related factors on multivariable analysis. A dose‐response effect of age on survival was observed, with every 5‐year increase in age older than 50 years resulting in an absolute increase of 8.3% in the mortality rate. Competing risk analysis revealed that older patients experienced higher rates of non–HCC‐related mortality (P = 0.004), and not HCC‐related death (P = 0.24). To delineate the precise cause of death, we further analyzed a single‐center cohort of patients who received a transplant as a result of HCC (n = 302). Patients older than 65 years had a higher incidence of de novo cancer (18.1% versus 7.6%; P = 0.006) after transplantation and higher overall cancer‐related mortality (14.3% versus 6.6%; P = 0.03). Even carefully selected elderly patients with HCC have significantly worse posttransplant survival rates, which are mostly driven by non–HCC‐related causes. Minimizing immunosuppression and closer surveillance for de novo cancers can potentially improve the outcomes in elderly patients who received a transplant as a result of HCC.