Development of a Model to Predict Transplant-free Survival of Patients With Acute Liver Failure.

ABSTRACT:

Background & aims

Patients with acute liver failure (ALF) have a high risk of death that can be substantially reduced with liver transplantation. It is a challenge to predict which patients with ALF will survive without liver transplant because available prognostic scoring systems are inadequate. We devised a mathematical model, using a large dataset collected by the Acute Liver Failure Study Group, which can predict transplant-free survival in patients with ALF.

Methods

We performed a retrospective analysis of data from 1974 subjects who met criteria for ALF (coagulopathy and hepatic encephalopathy within 26 weeks of the first symptoms, without pre-existing liver disease) enrolled in the Acute Liver Failure Study Group database from January 1, 1998 through June 11, 2013. We

SUBMITTER: Koch DG 

PROVIDER: S-EPMC6055510 | biostudies-literature | 2016 Aug

REPOSITORIES: biostudies-literature