Acute-on-chronic liver failure (ACLF) is a life-threatening syndrome occurring in patients with chronic liver disease. In China, hepatitis B virus (HBV) is the main cause of cirrhosis. HBV related ACLF is characterized by multiple organs failure (liver, coagulation and kidney, etc.) and confers with high risk of short-term mortality. For the treatment of ACLF patients, recent studies have explored the therapeutic efficacy of extracorporeal liver support therapies, such as albumin dialysis, plasma exchange. However, the clinical efficacy remains to be fully elucidated. Liver transplantation is the most efficient way to improve the survival of ACLF patients, especially for those suffering from three or more organ failures.
Recently, a novel extracorporeal system which is called double plasma molecular adsorption system (DPMAS) has been applied for the treatment of ACLF patients. DPMAS is an extracorporeal therapeutic procedure that combines two hemoperfusion devices. During treatment, toxic plasma is isolated and purified via perfusion through two adsorbers, after which the purified plasma is reinfused back into the patient's circulation. This technique requires no massive plasma supply and avoids the risks of plasma-related allergic reactions and pathogen transmission. DPMAS can rapidly alleviate jaundice and lower serum bilirubin levels, thereby mitigating the hepatotoxic effects induced by excessive bilirubin and bile acids. Despite the widespread clinical application of DPMAS in patients with liver failure, high-quality evidence supporting its definite clinical efficacy remains insufficient.
Accordingly, this prospective, multicenter cluster-controlled study is designed to evaluate the clinical benefits of DPMAS via validated hard clinical endpoints, including short-term mortality and disease progression, and screen out suitable candidate patients. Furthermore, biological specimens including plasma, urine and feces will be collected to characterize the molecular profiles of ACLF patients receiving DPMAS treatment through multi-omics analyses.