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Dynamic Changes in Bilirubin Predict 90-Day Mortality in Patients With Hepatocellular Carcinoma and Acute
Oliver Moore1,2, Fran Neveu-Coble3,4, Scott Read1,2,3
1Blacktown Clinical School, School of Medicine, Western Sydney University, Blacktown, New South Wales, Australia.
Insights
A new HCC-AD score predicts 90-day mortality in hepatocellular carcinoma (HCC) patients with acute decompensation (AD). This simple bilirubin-based score effectively stratifies risk and outperforms existing models in advanced HCC.
Area of Science:
- Hepatology
- Oncology
- Clinical Prediction Modeling
Background:
- Hepatocellular carcinoma (HCC) patients with acute decompensation (AD) of chronic liver disease face high 90-day mortality.
- Accurate prediction of mortality is crucial for timely intervention and resource allocation.
Purpose of the Study:
- To develop and validate a novel score, the HCC-acute decompensation (AD) score, to predict 90-day mortality in HCC patients admitted with AD.
- To compare the performance of the HCC-AD score against existing prognostic models.
Main Methods:
- Retrospective cohort study of 355 patients with decompensated cirrhosis and HCC.
- Data collected at admission and day 7, including bilirubin levels.
- Classification and regression tree analysis used to develop the HCC-AD score; discrimination assessed using Harrell C statistic.
Main Results:
- The HCC-AD score, based on admission and 7-day change in bilirubin, stratified patients into three risk groups with predicted 90-day mortality of 26%, 49%, and 89%.
- The score demonstrated good discrimination (Harrell C=0.731) in the validation cohort.
- The HCC-AD score was predictive across Barcelona Clinic Liver Cancer (BCLC) stages B, C, and D, outperforming MELD 3.0 and Child-Pugh scores in BCLC D.
Conclusions:
- The HCC-AD score is a simple, effective tool for stratifying 90-day mortality risk in HCC patients with AD.
- This score shows superiority over existing models, particularly in advanced HCC stages (BCLC C and D).
- The HCC-AD score can aid clinical decision-making and patient management in this high-risk population.
Objective:
To develop a score to predict 90-day mortality in patients with hepatocellular carcinoma (HCC) admitted with an acute decompensation (AD) event of chronic liver disease.
Patients And Methods:
This retrospective cohort study was conducted at Blacktown and Westmead Hospitals in Australia, including patients with decompensated cirrhosis and concomitant HCC between January 1, 2012, and May 31, 2023. Participants were separated into derivation (n=233) and validation (n=132) cohorts. Demographic and clinical data were collected at admission and day 7. Independent predictors for 90-day transplant-free survival were entered into classification and regression tree analysis to develop the HCC-AD score. Discrimination was assessed in the validation cohort using Harrell C statistic. Subgroup analysis was conducted for each Barcelona Clinic Liver Cancer (BCLC) class with comparisons made to current scores.
Results:
A cohort of 355 patients was considered. Admission bilirubin (P=.009) and 7-day change in bilirubin (P=.018) remained significant for 90-day mortality in multivariable analysis. The HCC-acute decompensation (AD) score stratified patients into 3 risk groups with predicted mortality of 26%, 49%, and 89%, respectively. The HCC-AD score showed good discrimination (Harrell C=0.731). Cox regression analysis determined the HCC-AD score remained predictive in BCLC B (P<.001), C (P<.001), and D (P=.010) scored HCC. The model for end-stage liver disease 3.0 (P=.058) and Child-Pugh (P=.11) scores were not predictive in BCLC D HCC.
Conclusion:
A simple score that stratifies patients with HCC into 3 risk categories based on changes in bilirubin predicts 90-day mortality following an acute decompensatory event. It is superior to other scores in advanced HCC.
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