Validation of scores of PRO-C3 to predict liver-related events in alcohol-related liver disease

Abstract

Background and aims: Risk prediction in alcohol-related liver disease (ArLD) is an unmet need. We aimed to assess PRO-C3 models to predict liver-related events (LRE) in patients with a history of excessive alcohol use without an established diagnosis of chronic liver disease.

Methods: A prospective cohort study of 462 patients with ArLD, split into a derivation cohort of 221 secondary care patients and a validation cohort of 241 primary care patients. Baseline variables, including fibrogenesis marker PRO-C3, were used to develop a prediction model. Prognostic accuracy was compared to enhanced liver fibrosis (ELF), fibrosis-4-index (FIB-4), transient elastography (TE) and ADAPT.

Results: In the derivation and validation cohorts, 67 (30%) and 19 (8%) experienced an LRE during a median follow-up of 5.2 years (IQR: 3.2-6.8) and 4.0 years (IQR: 2.7-5.6). On top of PRO-C3 and ADAPT score, we generated a model (ALPACA) of independent predictors of LREs (PRO-C3, AST/ALT, platelets). ALPACA had high prognostic accuracy with a C-statistic of 0.85 in the derivation cohort, comparable to ELF (0.83) and TE (0.84) and significantly higher than FIB-4 (0.78), PRO-C3 (0.80) and ADAPT (0.81). In the validation cohort, all tests had comparable C-statistics. Compared to low-risk patients (ALPACA ≤11), high-risk patients (>11) had a subhazard ratio for LREs of 12.6 (95% CI 5.9-26.8, p < .001) and higher cumulative incidence (57% vs. 7%, p < .001; derivation cohort). We observed similar subhazard ratio in the validation cohort.

Conclusions: PRO-C3-based scores are reliable tools to predict LREs in ArLD patients and are suitable for risk stratification in primary and secondary care.

Keywords: alcoholic liver disease; biomarkers; extracellular matrix; fibrosis; prognosis.