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De Novo Cost-Effectiveness Model Framework for Nonalcoholic Steatohepatitis-Modeling Approach and Validation
Peter Gal1, Gyorgyi Feldmajer1, Margarida Augusto2
1Evidera, Budapest, Hungary.
This study developed a new cost-effectiveness model for nonalcoholic steatohepatitis (NASH) that includes comorbidities. The model aims to better estimate the cost-effectiveness of NASH interventions by considering extra-hepatic disease states.
Area of Science:
- Hepatology
- Health Economics
- Pharmacoeconomics
Background:
- Nonalcoholic steatohepatitis (NASH) is a chronic liver disease with significant hepatic and extra-hepatic morbidity.
- Existing cost-effectiveness models (CEMs) for NASH often omit crucial comorbid conditions.
- This heterogeneity limits accurate assessment of NASH interventions.
Purpose of the Study:
- To develop a novel, de novo cost-effectiveness model (CEM) framework for NASH.
- To incorporate extra-hepatic disease states and outcomes alongside hepatic components.
- To enable future estimation of the cost-effectiveness of NASH interventions.
Main Methods:
- A hybrid patient-level simulation and cohort-level Markov model framework was developed.
- Model inputs included fibrosis progression, liver disease outcomes, comorbidity outcomes (cardiovascular disease, type 2 diabetes, obesity), mortality, quality of life, and costs.
- Efficacy and adverse event data were sourced from the REGENERATE trial interim analysis.
Main Results:
- The prototype analysis showed obeticholic acid increased total costs, life years, and quality-adjusted life years compared to standard of care.
- Cross-validation with existing models revealed significant differences, primarily due to mortality inputs and comorbidity effects.
- The model highlights the impact of comorbidities on NASH cost-effectiveness.
Conclusions:
- This is the first NASH CEM to integrate the clinical consequences of multiple comorbidities.
- The flexible framework allows for cost-effectiveness estimations in diverse settings.
- Further development is planned as more data become available.
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