Cost-Effectiveness Analysis of Six Immunotherapy-Based Regimens and Sunitinib in Metastatic Renal Cell Carcinoma: A Public Payer Perspective

Author:

Yoo Minkyoung1ORCID,Nelson Richard E.12,Cutshall Zachary3ORCID,Dougherty Maura4ORCID,Kohli Manish56ORCID

Affiliation:

1. Division of Epidemiology, Department of Internal Medicine, University of Utah School of Medicine, Salt Lake City, UT

2. Informatics Decision Enhancement and Surveillance (IDEAS) Center, VA Salt Lake City Healthcare System, Salt Lake City, UT

3. University of Utah School of Medicine, Salt Lake City, UT

4. Department of Economics, University of Utah, Salt Lake City, UT

5. Division of Oncology, Department of Medicine, University of Utah, Salt Lake City, UT

6. Huntsman Cancer Institute, Salt Lake City, UT

Abstract

PURPOSE: Several new treatment combinations have been approved in metastatic renal cell carcinoma (mRCC). To determine the optimal therapy on the basis of cost and health outcomes, we performed a cost-effectiveness analysis of approved immunotherapy-tyrosine kinase inhibitor/immunotherapy drug combinations and sunitinib using public payer acquisition costs in the United States. METHODS: We constructed a decision model with a 10-year time horizon. The seven treatment drug strategies included atezolizumab + bevacizumab, avelumab + axitinib, pembrolizumab + axitinib, nivolumab + ipilimumab (NI), nivolumab + cabozantinib, lenvatinib + pembrolizumab, and sunitinib. The effectiveness outcome in our model was quality-adjusted life-years (QALYs) with utility values on the basis of the published literature. Costs included drug acquisition costs and costs for management of grade 3-4 drug-related adverse events. We used a partitioned survival model in which patients with mRCC transitioned between three health states (progression-free, progressive disease, and death) at monthly intervals on the basis of parametric survival function estimated from published survival curves. To determine cost-effectiveness, we constructed incremental cost-effectiveness ratios (ICERs) by dividing the difference in cost by the difference in effectiveness between nondominated treatments. RESULTS: The least expensive treatment was sunitinib ($357,948 US dollars [USD]-$656,100 USD), whereas the most expensive was either lenvatinib + pembrolizumab or pembrolizumab + axitinib ($959,302 USD-$1,403,671 USD). NI yielded the most QALYs (3.6), whereas avelumab + axitinib yielded the least (2.5). NI had an incremental ICER of $297,465 USD-$348,516 USD compared with sunitinib. In sensitivity analyses, this ICER fell below $150,000 USD/QALY if the initial 4-month cost of NI decreased by 22%-38%. CONCLUSION: NI was the most effective combination for mRCC, but at a willingness-to-pay threshold of $150,000 USD/QALY, sunitinib was the most cost-effective approach.

Publisher

American Society of Clinical Oncology (ASCO)

Subject

Oncology (nursing),Health Policy,Oncology

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