Abstract

Teplizumab was recently shown to be the first-ever drug to prevent or delay type 1 diabetes mellitus onset in at-risk individuals, especially those with certain genetic and antibody characteristics. However, its potentially high price may pose challenges for coverage and reimbursement for payers and policymakers. Thus, it is critical to investigate the cost effectiveness of this drug for different target individuals. Using Markov microsimulation modeling, we compared the cost effectiveness of five options for choosing target individuals (i.e., all at-risk individuals, individuals without human leukocyte antigen (HLA)-DR3 or with HLA-DR4 allele, individuals without HLA-DR3 and with HLA-DR4 allele, individuals with anti-zinc transporter 8 (ZnT8) antibody negative, and no provision at all) at different possible prices of teplizumab. Effectiveness was measured by quality-adjusted life-years. Costs were estimated from a health system perspective. If the price of teplizumab is below US$48,900, treating all at-risk individuals is cost effective. However, it will be cost effective to treat only individuals without HLA-DR3 or with HLA-DR4 alleles for prices between US$48,900 and US$58,200, only individuals both without HLA-DR3 and with HLA-DR4 alleles for prices between US$58,200 and US$88,300, and only individuals with negative ZnT8 antibody status for prices between US$88,300 and US$193,700. Cost-effective provision of teplizumab to target individuals depends on the price of teplizumab and genetic and antibody characteristics of treated individuals. As the drug makes its way to themarket, findings from this study will help inform policymakers and payers on cost-effective ways to provide this innovative but expensive drug to at-risk individuals.

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