Aims This economic model was developed to assess the budget impact of a novel radiotracer, Flurpiridaz (F18-PET-MPI), compared to SPECT-MPI from a US payer perspective. Materials and Methods The model was developed comparing F18-PET-MPI and SPECT-MPI, with F18-PET-MPI modality share increasing from 0.5% to 2.5% of the total MPI modality share, over a 5-year time horizon. The model estimates the impact of diagnostic performance on downstream healthcare resource utilization (HCRU) including invasive coronary angiography (ICA), revascularization, pharmacological treatment, and cardiac outcomes (CO) such as cardiac mortality (CM) and myocardial infarction (MI). Four suspected CAD populations, including general and difficult-to-image subgroups, were analyzed. Clinical inputs used to support the parameterization of the model were sourced from a systematic literature search and included claims-based real-world evidence, observational, and multicenter registry studies to inform the rates of HCRU and CO, and head-to-head comparative clinical trial data advised diagnostic performance inputs. Reimbursement codes informed MPI modality costs. Results are reported as per-member per-month (PMPM) based on a hypothetical health plan. Results In all suspected CAD populations analyzed, there was a nominal cost increase in the world with F18-PET-MPI. The 5-year average PMPM incremental budget impact ranged from $0.02 to $0.05 across all suspected CAD subgroups. Cost-savings were associated with decreased downstream CO such as CM, MI, and ICA. Limitations and Conclusion The available literature to source all parameters in the model was limited; therefore, assumptions and additional calculations were made based on published evidence to inform the model. A one-way sensitivity analysis was performed to confirm and address uncertainty in key parameters. This comprehensive analysis illustrates that the superior diagnostic performance of F18-PET-MPI may result in reduced adverse CO events and associated costs, increased appropriate identification and treatment of CAD, and a minimal increase in overall costs among general and difficult-to-image patient subgroups.
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