Session: 901. Health Services and Quality Improvement – Non-Malignant Conditions: Poster I
Hematology Disease Topics & Pathways:
Research, Bleeding and Clotting, bleeding disorders, Biological therapies, Antibody Therapy, Clinical Practice (Health Services and Quality), Clinical Research, health outcomes research, Genetic Disorders, Diseases, Therapies, Infusion, Monoclonal Antibody Therapy, Transfusion
Methods: For this independent analysis free of industry influence, we built a Markov simulation of adult patients with HHT to examine the cost-effectiveness of bevacizumab added to SOC versus SOC alone, over a lifetime time-horizon and across accepted willingness-to-pay (WTP) thresholds. Costs were assessed in 2023 US dollars. We employed study data for pre- and post-bevacizumab that included descriptive statistics for 1) hemostatic procedures, 2) hospitalizations, 3) emergency department visits, 4) RBC transfusions, and 5) iron infusions. Treatment-specific patient time and lost wages were also accounted for across IV infusions, emergency department visits, hospitalizations, and hemostatic procedures. Probabilities of RBC- and iron-related adverse events were sourced from hemovigilance reports, the 2015 National Blood Collection and Utilization Survey and 2008-2017 World Health Organization’s VigiBase. Ferric carboxymaltose was used as the base-case iron supplement, and a scenario analysis examined ferumoxytol. Effectiveness was calculated in QALYs, and employed age-adjusted utilities derived using HHT-specific EQ-5D index values, with the 2019 Global Burden of Disease Study used to account for the degree of anemia improvement reported with bevacizumab. The primary outcome was the incremental cost-effectiveness ratio (ICER), or incremental net monetary benefit (iNMB) if intervention was found to be cost-saving. The secondary outcome was the aggregated patient time spent receiving HHT-specific care. We concluded by conducting deterministic and probabilistic sensitivity analyses, capturing uncertainty in all parameters simultaneously over 10,000 Monte Carlo iterations.
Results: In the base-case, bevacizumab versus SOC cost $959,000 and $1,533,000 while accruing 24.1 and 21.8 QALYs, respectively. The iNMB with bevacizumab was $916,000 [95% credible interval $454,000-$1,994,000] and $1,004,000 [95% CI $473,000-$2,237,000] from the US health system and societal perspectives, respectively, at a WTP of $150,000/QALY. Bevacizumab also saves patients 125 hours per year lived. Deterministic sensitivity analysis revealed that no parameter variance changes the model result. In probabilistic sensitivity analysis bevacizumab was favored in 100.0% of 10,000 Monte Carlo iterations: saving cost with increased QALYs in 99.6% and cost-effective in the remaining 0.4% of iterations (Figure 1). Similar cost-savings were found in the scenario analysis with ferumoxytol.
Conclusion: By reducing the need for hemostatic procedures, hospitalizations, emergency visits, RBC transfusions, and iron infusions, bevacizumab is, unusually, a cost-saving intervention that also improves the quality-adjusted life expectancy of patients with HHT. Bevacizumab also saves patient time spent on receiving HHT-specific care. Collecting long-term follow-up data to evaluate continued response to bevacizumab will help assess its value versus future advances in the care of patients with HHT.
Disclosures: Krumholz: Johnson & Johnson: Consultancy; HugoHealth: Current equity holder in private company; Eyedentifeye: Consultancy; Element Science: Consultancy; UnitedHealth: Consultancy; Refactor Health: Current equity holder in private company; F-Prime: Consultancy; Google: Consultancy; Pfizer: Consultancy. Al-Samkari: Amgen: Consultancy, Research Funding; Novartis: Consultancy; Sobi: Consultancy, Research Funding; Agios: Consultancy, Research Funding; argenx: Consultancy; Pharmacosmos: Consultancy; Moderna: Consultancy.
OffLabel Disclosure: Bevacizumab in hereditary hemorrhagic telangiectasia.
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