Published in:
Open Access
01-12-2023 | Hepatocellular Carcinoma | Study Protocol
A rapid, non-invasive, clinical surveillance for CachExia, sarcopenia, portal hypertension, and hepatocellular carcinoma in end-stage liver disease: the ACCESS-ESLD study protocol
Authors:
Patrik Nasr, Mikael Forsgren, Wile Balkhed, Cecilia Jönsson, Nils Dahlström, Christian Simonsson, Shan Cai, Anna Cederborg, Martin Henriksson, Henrik Stjernman, Martin Rejler, Daniel Sjögren, Gunnar Cedersund, Wolf Bartholomä, Ingvar Rydén, Peter Lundberg, Stergios Kechagias, Olof Dahlqvist Leinhard, Mattias Ekstedt
Published in:
BMC Gastroenterology
|
Issue 1/2023
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Abstract
Background
Liver cirrhosis, the advanced stage of many chronic liver diseases, is associated with escalated risks of liver-related complications like decompensation and hepatocellular carcinoma (HCC). Morbidity and mortality in cirrhosis patients are linked to portal hypertension, sarcopenia, and hepatocellular carcinoma. Although conventional cirrhosis management centered on treating complications, contemporary approaches prioritize preemptive measures. This study aims to formulate novel blood- and imaging-centric methodologies for monitoring liver cirrhosis patients.
Methods
In this prospective study, 150 liver cirrhosis patients will be enrolled from three Swedish liver clinics. Their conditions will be assessed through extensive blood-based markers and magnetic resonance imaging (MRI). The MRI protocol encompasses body composition profile with Muscle Assement Score, portal flow assessment, magnet resonance elastography, and a abbreviated MRI for HCC screening. Evaluation of lifestyle, muscular strength, physical performance, body composition, and quality of life will be conducted. Additionally, DNA, serum, and plasma biobanking will facilitate future investigations.
Discussion
The anticipated outcomes involve the identification and validation of non-invasive blood- and imaging-oriented biomarkers, enhancing the care paradigm for liver cirrhosis patients. Notably, the temporal evolution of these biomarkers will be crucial for understanding dynamic changes.