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The goal of this observational study is to learn if spleen stiffness and other non-invasive markers can help predict recompensation in people with decompensated cirrhosis who are receiving effective treatment for the cause of their liver disease. The main questions it aims to answer are:
Participants will:
Researchers will track how many participants recover and stay recovered over time, and use that information to build a tool to help predict outcomes in others with cirrhosis.
Full description
This is a prospective, observational, multicenter study designed to follow adults with decompensated cirrhosis who are receiving effective treatment for the underlying cause of their liver disease, such as antiviral therapy, alcohol abstinence, or metabolic management. The study is aiming to understand how these patients recover after treatment; Identify how often they achieve recompensation and stable recommendation; Develop a non-invasive model using spleen stiffness and other markers to predict who is more likely to improve.
Participants will be grouped based on whether they have had decompensation within the past 12 months. Researchers will regularly collect clinical data, spleen stiffness measurements, and lab tests, to develop and validate a model that predicts recompensation and stable recompensation. The study will also assess the cumulative incidence of clinical events (e.g., further decompensation, hepatocellular carcinoma, liver transplantation, and death) over a two-year follow-up period. Predictive accuracy, model calibration, and discrimination will be evaluated using standard statistical methods, including competing risk models and AUROC analysis.
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Inclusion criteria
Male or female, aged 18 to 75 years (inclusive)
Clinically diagnosed decompensated cirrhosis
First decompensated event occurred within 12 months of screening, or no decompensated events in the past 12 months despite a history of decompensation
Received effective etiological treatment per guidelines:
Exclusion criteria
735 participants in 2 patient groups
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Central trial contact
Bingqiong Wang, Dr
Data sourced from clinicaltrials.gov
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