A novel microRNA-based prognostic model outperforms standard prognostic models in patients with acetaminophen-induced acute liver failure.

ABSTRACT:

Background & aims

Acetaminophen (APAP)-induced acute liver failure (ALF) remains the most common cause of ALF in the Western world. Conventional prognostic models, utilising markers of liver injury and organ failure, lack sensitivity for mortality prediction. We previously identified a microRNA signature that is associated with successful regeneration post-auxiliary liver transplant and with recovery from APAP-ALF. Herein, we aimed to use this microRNA signature to develop outcome prediction models for APAP-ALF.

Methods

We undertook a nested, case-control study using serum samples from 194 patients with APAP-ALF enrolled in the US ALF Study Group registry (1998-2014) at early (day 1-2) and late (day 3-5) time-points. A microRNA qPCR panel of 22 microRNAs was utilised to asse

SUBMITTER: Tavabie OD 

PROVIDER: S-EPMC10668489 | biostudies-literature | 2021 Aug

REPOSITORIES: biostudies-literature