The Natural History of NAFLD, a Community‐Based Study at a Large Health Care Delivery System in the United States

Lisa M. Nyberg, T. Craig Cheetham, Heather M. Patton, Su‐Jau Yang, Kevin M. Chiang, Susan L. Caparosa, Julie A. Stern, Anders H. Nyberg – 24 October 2020 – Nonalcoholic fatty liver disease (NAFLD) is a global public health problem. However, the natural history of NAFLD is incomplete. This is a retrospective cohort study of patients identified with NAFLD by diagnosis codes in a large, community‐based health care delivery system.

Liver Transplantation Using Hepatitis C Virus–Viremic Donors Into Hepatitis C Virus–Aviremic Recipients as Standard of Care

Humberto Bohorquez, Emily Bugeaud, Natalie Bzowej, Jennifer Scheuermann, Jonathan Hand, David Bruce, Ian Carmody, Ari Cohen, Shobha Joshi, John Seal, Dennis Sonnier, George Therapondos, Nigel Girgrah, Stephanie Anders, George E. Loss – 24 October 2020 – Liver transplantation (LT) using allografts from hepatitis C virus (HCV)‐viremic/nucleic acid testing–positive donors’ (DNAT+) organs into HCV‐aviremic recipients (rHCV−) has been limited owing to nearly universal HCV transmission and concerns regarding availability, safety, and efficacy post‐LT with direct‐acting antiviral (DAA) therapy.

Triple‐Phase Computed Tomography May Replace Dual‐Energy X‐ray Absorptiometry Scan for Evaluation of Osteoporosis in Liver Transplant Candidates

Manhal Izzy, Benyam D. Addissie, Juan Pablo Arab, Moira B. Hilscher, Amanda Cartee, David C. Lee, Yong Lee, Joel G. Fletcher, Tony M. Keaveny, William Sanchez – 23 October 2020 – Assessment of bone density is an important part of liver transplantation (LT) evaluation for early identification and treatment of osteoporosis. Dual‐energy X‐ray absorptiometry (DXA) is currently the standard clinical test for osteoporosis; however, it may contribute to the appointment burden on LT candidates during the cumbersome evaluation process, and there are limitations affecting its accuracy.

Application of Artificial Intelligence for the Diagnosis and Treatment of Liver Diseases

Joseph C. Ahn, Alistair Connell, Douglas A. Simonetto, Cian Hughes, Vijay H. Shah – 23 October 2020 – Modern medical care produces large volumes of multimodal patient data, which many clinicians struggle to process and synthesize into actionable knowledge. In recent years, artificial intelligence (AI) has emerged as an effective tool in this regard. The field of hepatology is no exception, with a growing number of studies published that apply AI techniques to the diagnosis and treatment of liver diseases.

Subscribe to