Plasma exchange does not improve overall survival in patients with acute liver failure in a real-world cohort. Journal of hepatology BACKGROUND & AIMS:Therapeutic plasma exchange (PEX) has emerged as a potential treatment option for patients with acute liver failure (ALF). The effect of PEX on survival outcomes outside of clinical trials is not yet well established. In this study we aimed to evaluate the real-world use and outcomes of PEX for the treatment of ALF. METHODS:This multicentre retrospective cohort study included consecutive patients with ALF admitted to all seven tertiary liver transplant centres in the UK between June 2013 and December 2021. Changes in clinical variables following PEX treatment were assessed, while overall survival and transplant-free survival up to hospital discharge in patients receiving PEX were compared to those receiving standard medical therapy Propensity score matching was performed to control for intergroup covariates and selection bias. RESULTS:We included 378 patients with ALF (median [IQR] age 36 (28-48), 64% [n = 242] female) of whom 120 received PEX. There was a significant improvement in most clinical variables following PEX, including median dose of noradrenaline (reduction from 0.35 μg/kg/min [0.19-0.70 μg/kg/min] to 0.16 μg/kg/min [0.08-0.49], p = 0.001). There was no significant difference between PEX and standard medical therapy groups in overall survival (51.4% vs. 62.6%, respectively, p = 0.12) or transplant-free survival (42.6% vs. 53.1%, p = 0.24). CONCLUSION:PEX is now frequently used in the management of patients with ALF in the UK. It is associated with significant improvement in haemodynamic parameters but not survival benefit. IMPACT AND IMPLICATIONS:Therapeutic plasma exchange is frequently used in the management of patients with acute liver failure in the UK. This real-world study demonstrates significant improvement in haemodynamic status but has not confirmed the survival benefit seen in previous published literature. These results should help guide the future use of plasma exchange in this patient population. 10.1016/j.jhep.2024.09.034

Construction of a prediction model for hepatic encephalopathy in acute-on-chronic liver failure patients. Annals of medicine OBJECTIVE:Hepatic encephalopathy (HE) is a serious complication of acute-on-chronic liver failure (ACLF) that requires early detection and intervention to positively impact patient prognosis. This study aimed to develop a reliable model to predict HE in ACLF patients during hospitalization. METHODS:Retrospectively recruiting 255 hepatitis B-related ACLF patients, including 67 who developed HE during hospitalization, the study analysed clinical data and biochemical indices collected during the first week of admission. The least absolute shrinkage and selection operator (LASSO) was used to identify characteristic predictors for hospitalization HE events, and a logistic regression model was subsequently developed. Receiver operating characteristic (ROC) curves, calibration curves, and bootstrap resampling were used to evaluate the model's discrimination, consistency, and accuracy, and a nomogram was created to visualize the model. An external validation cohort of 236 liver failure patients collected from the same medical centre between 2007 and 2010 was used to validate the model. RESULTS:The study found that blood urea nitrogen (BUN), alpha-fetoprotein (AFP), international normalized ratio (INR), serum ammonia, and infection complications during hospitalization were risk factors for HE in ACLF patients. The new model predicted the development of HE in ACLF patients with an area under the receiver operating characteristic curve (AUROC) of 85.2%, which was superior to other models. The best threshold for the new model was 0.28, resulting in a specificity of 81.4% and a sensitivity of 80.6%. In the validation group, the new model showed similar results, with an AUROC of 79% and a specificity of 83.6% and a sensitivity of 56.6%. CONCLUSION:This study developed and validated a new prediction model for HE in ACLF patients offering a useful tool for early identification of patients with a high risk of HE in clinical settings. However, to ascertain the model's general effectiveness, future prospective multicentre studies are warranted. 10.1080/07853890.2024.2410403