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Background: Nonalcoholic steatohepatitis (NASH) is a chronic liver disease associated with hepatic morbidity and mortality and extra-hepatic comorbidities. Published NASH cost-effectiveness models (CEMs) are heterogeneous and consistently omit comorbid conditions that frequently co-exist alongside NASH. We aimed to develop a de novo CEM framework that incorporates extra-hepatic disease states and outcomes alongside hepatic components to enable future estimation of the cost-effectiveness of NASH interventions., Methods: Patient-level simulation and cohort-level Markov models were implemented in the same framework. Model inputs included fibrosis progression; late-stage liver disease outcomes; comorbidity outcomes for cardiovascular disease, type 2 diabetes, and obesity; mortality; health-related quality of life; and direct medical costs. The prototype analysis assessed the cost-effectiveness of obeticholic acid versus standard of care from a US payer perspective over a lifetime horizon with costs and effects discounted at 3% per annum. However, the CEM was designed for easy adaptation to other countries, time horizons, and other considerations. Efficacy and adverse event parameters were obtained from the 18-month interim analysis of the REGENERATE trial. Outputs include total and incremental costs, total life years, and quality-adjusted life years., Results: In this model, total costs, total life years, and quality-adjusted life years were all higher with obeticholic acid compared with standard of care. Cross-validation of this model with the 2016 and 2020 Institute for Clinical and Economic Review models revealed marked differences, mainly driven by mortality inputs, transition probability estimates, and incorporation of the effect of treatment and comorbidities., Conclusion: This is the first CEM in NASH to incorporate the clinical consequences of several comorbidities. The flexible yet standardized framework permits estimation of the cost-effectiveness of NASH interventions in a variety of settings. The model currently includes several assumptions and will be further developed as more relevant data become available., (© 2023. The Author(s).)

Background: Natalizumab (Tysabri) is a new disease-modifying therapy that has been shown to be clinically effective in patients with relapsing-remitting multiple sclerosis (RRMS) and has been licensed for use in patients with highly active RRMS (HARRMS). These patients are those who experience higher relapse rates and faster disability progression than the general RRMS population., Objectives: To estimate the cost effectiveness of natalizumab compared with interferon-beta, glatiramer acetate and best supportive care from various UK cost perspectives., Methods: A 30-year Markov model was developed, based on previously published models for multiple sclerosis, to estimate transition between disability states and the probability of relapse within disability states. The model was parameterized with data from the UK Multiple Sclerosis (MS) Survey 2005 and data from the AFFIRM study, a 2-year multicentre, randomized, double-blind, placebo-controlled trial of natalizumab in RRMS patients. Additional data were sourced from the literature. A UK societal cost perspective was used in the base case, with additional cost perspectives considered in the sensitivity analysis. The baseline characteristics for the patient group were taken from the patient population in the AFFIRM study (mean age 36 years, mean time since diagnosis 5 years and a mean Kurtzke Extended Disability Status Scale [EDSS] score of 2.5). The model and its parameterization were designed and developed to support a reimbursement application for natalizumab submitted to the UK National Institute for Health and Clinical Excellence (NICE). Efficacies for natalizumab and glatiramer acetate were taken from clinical trial data, and for interferon-beta from a meta-analysis of clinical trial data. Disutilities from adverse events for each comparator were also included in the model. Outcomes and costs were discounted at 3.5% per anum. Costs for interferon-beta and glatiramer acetate were based on published prices (year 2006 values) under the UK Risk Sharing Scheme, and for natalizumab the UK NHS list price was used. Diagnostic, administration and adverse event costs were also included. The incremental cost-effectiveness ratios (ICERs) were calculated for the base case, and a probabilistic sensitivity analysis was performed to assess the probability of cost effectiveness at different willingness-to-pay thresholds., Results: The ICER for natalizumab compared with interferon-beta was 2300 pound per QALY. Compared with glatiramer acetate, it was 2000 pound per QALY, and compared with best supportive care it was 8200 pound per QALY. From a health and social care cost perspective, the ICERs were 18,700 pound, 20,400 pound and 25,500 per QALY, respectively. At a willingness-to-pay threshold of 30,000 pound per QALY, the probability of natalizumab being cost effective against any comparator from a societal perspective was >89%., Conclusion: If UK society is willing to pay more than 8200 pound per QALY, or Health and Social Services are willing to pay more than 26,000 pound per QALY, this analysis suggests that natalizumab is likely to be a cost-effective treatment for all patients with HARRMS.