Measuring Costs of Cardiovascular Disease Prevention for Patients with Familial Hypercholesterolemia in

Lauren E Passero1, Megan C Roberts2

  • 1Division of Pharmaceutical Outcomes and Policy, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA. laurl4@email.unc.edu.

Insights

Familial hypercholesterolemia screening and treatment incur significant real-world costs for lipid testing and medications. These estimates are crucial for improving cost-effectiveness models for cardiovascular disease prevention.

Area of Science:

  • Pharmacoeconomics
  • Cardiovascular Disease Prevention
  • Genetic Lipid Disorders

Background:

  • Familial hypercholesterolemia (FH) is a prevalent genetic disorder significantly increasing cardiovascular event risk.
  • FH is a prime candidate for population-wide screening, yet cost data for interventions is scarce.
  • Accurate real-world cost estimates are vital for economic analyses of FH screening and management.

Purpose of the Study:

  • To estimate the real-world costs of lipid panel testing for hyperlipidemia.
  • To determine the costs of statins, ezetimibe, and PCSK9 inhibitors for familial hypercholesterolemia treatment.
  • To provide data for improving cost-effectiveness models of FH screening and care.

Main Methods:

  • Utilized a commercial claims database to analyze costs.
  • Calculated costs per lipid panel and per prescription by days' supply.
  • Focused on patients with hyperlipidemia and familial hypercholesterolemia.

Main Results:

  • Mean cost for a 90-day statin supply was $183.33, over double the 30-day supply cost ($79.35).
  • PCSK9 inhibitors represented the highest mean medication costs for FH patients.
  • Lipid testing and lipid-lowering therapies incur substantial real-world expenditures.

Conclusions:

  • Lipid testing and medications for cardiovascular disease prevention in FH are associated with significant real-world costs.
  • These cost data are essential for refining economic models of FH screening and management.
  • Improved cost-effectiveness analyses can guide resource allocation for FH care.
Abstract

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